Qualification: 
Ph.D
sp_anbu@cb.amrita.edu

Dr. Anbuudayasankar S. P. received his Ph. D. in Mechanical Engineering from Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore in 2011. His dissertation was titled, Unified Heuristics for a Class of Complex and Practical Routing Problems in Logistics, which won the best thesis award at the Fourth Conference on Global Advances and Innovations in IT and Management in Gwalior. He holds M. E. in Industrial Engineering, from National Institute of Technology, Tiruchirappalli, M. B. A. from Madurai Kamaraj University, Madurai and B. E. in Mechanical Engineering from Bharathiar University, Coimbatore in 1995.

He is having 12 years of teaching experience in various engineering colleges. He joined AMRITA in 2004 as lecturer and promoted as Associate professor in 2011. He served as NSS Program Officer for three years in Amrita School of Engineering and NSS Program Coordinator for three years for Amrita Vishwa Vidyapeetham.

Dr. Anbuudayasankar has published twelve research articles in international journals, ten at international conferences and six at national conferences. He has also written a Chapter in the book published by IGI Global Publishers and a white paper for the University of Sheffield, UK. In addition, he has published two special issues in International Journals as the Guest editor of Inderscience Publishers and Chief and Associate Editor of Two International Journals of Serial Publications.

He is a reviewer for many journals of the journals like European Journal of Operational Research (an Elsevier Publication), OMEGA – The Journal of Management Science, International Journal of Systems Sciences (IJSS) – Taylor and Francis Publishers, International Journal of Logistics Economics and Globalization (IJLEG) – Inderscience Publishers, International Journal of Value Chain Management (IJVCM) – Inderscience Publishers, International Journal of System Dynamics and Application (IJSDA) – IGI Global Publishers, etc.

He has attended several International and National Workshops organized by premier Industries and Institutions. He has chaired few International and National Conferences and jury for the academic competitions and been a guest speaker for numerous times. He is a Life Member of the Indian Society for Technical Education (ISTE).

Academic Qualifications

  • 2011: Ph. D. (Research Area: Supply Chain and Logistics Management & Optimization)
    Amrita Vishwa Vidyapeetham, Coimbatore 
  • 2001: MBA (Production and Marketing)
    Madurai Kamaraj University, Madurai.
  • 2000: M. E. Industrial Engineering
    National Institute of Technology, Tiruchirappalli.
  • 1995: B. E. Mechanical Engineering
    Bharathiar University, Coimbatore

Professional Appointments

Year Affiliation
February 2004 - Present Lecturer, Senior Lecturer, Assistant Professor and Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore
July 2001 – January 2004 Lecturer, Tamilnadu College of Engineering, Coimbatore
November 1996 – June 1998 Lecturer, Erode Sengunthar Engineering College, Erode

Awards

  • Received Best Thesis Award at the 4th International Conference on "Global Advances and Innovations in IT and Management” from December 28-30, 2012 at Prestige Institute of Management, Gwalior, from the Governor of Madhya Pradesh H. E. Shri Ram Naresh Yadav Ji on 29-12-2012 at Gwalior.

Funded Projects

  • CO-PI for a project titled “Empowering the integrated child protection scheme functionaries in Tamilnadu” funded by UNICEF, Chennai for a period of 7 months for Rs. 12,04,060 sanctioned by University on May 16, 2018.
  • CO-PI for a project titled “Training of the trainer programme on child protection for NSS programme coordinators in Tamilnadu” funded by UNICEF, Chennai for Rs. 14,32,750 sanctioned by University on August 29, 2018. 
  • Submitted a Proposal for Funding to DST-SERB titled “Development of a job prioritisation tool for a real-world large scale static and dynamic flow-shops & jobshops using multi criteria decision models” on June 30, 2018.

Member of Professional Body/Council 

  • Life Member of Indian Society for Technical Education (ISTE).
  • Award Committee Member in ISTE for Tamilnadu and Pondicherry Section.

Annexure

Editor-in-Chief

  • International Journal of Decision Making in Supply Chain and Logistics (IJDMSCL) International Science Press, Serial Publications 

Editor

  • International Journal of Logistics and Supply Chain Management (IJLSCM) International Science Press, Serial Publications

Managing Editor 

  • International Journal of Green Computing (IJGC) IGI – Global Publishers

Associate Editor 

  • International Journal of System Dynamics (IJSD) IGI – Global Publishers
  • International Journal of Operations, Systems and Human Resource Management (IJOSHRM) International Science Press, Serial Publications

Guest Editor- Special Issues

  • International Journal of Enterprise Network Management (IJENM), Inderscience Publishers (Scopus Indexed)
    • Guest Editors: Dr. K. Ganesh and Professor S.P. Anbuudayasankar; Special Issue on “Data Analytics Techniques and Heuristics for Complex Supply Chain Network Problems”; Vol.3, Issue 3, 2009.
  • International Journal of Value Chain Management (IJVCM), Inderscience Publishers (Scopus Indexed)
    • Guest Editors: Dr. K. Ganesh, Prof. S.P. Anbuudayasankar, Dr. Mukesh Kumar Barua and Dr. Tom Page; Special Issue on: "Empirical, Experimental, Exploratory and Analytical Research for the Smarter Supply Chain – Service and Manufacturing Industry" Vol. 5, No. 3/4, 2011.
  • International Journal of Logistics Economics and Globalisation (IJLEG), Inderscience Publishers
    • Guest Editors: Dr. S.P. Anbuudayasankar, Dr. K. Ganesh, Dr. Rainer Leisten and Dr. Immanuel Edinbarough; Special Issue on Simulation and Optimisation in Manufacturing Systems and Supply Chains, Vol. 4, No. 3, 2012.

Referee and Editorial Board

  • European Journal of Operational Research (EJOR) – Elsevier Publishers
  • OMEGA – The Journal of Management Science
  • International Journal of Systems Sciences (IJSS) – Taylor and Francis Publishers
  • International Journal of Logistics Economics and Globalisation (IJLEG) – Inderscience Publishers
  • International Journal of System Dynamics and Application (IJSDA) – IGI Global Publishers

Session Chair in International and National Conferences

  • Session Chairman of a technical session at the International Conference on Contemporary Design and Analysis of Manufacturing and Industrial Engineering Systems - CDAMIES 2018 at NIT Tiruchirappalli on January 20, 2018.
  • Session Chairman of a technical session at the International Conference at Noorul Islam University, Nagercoil, from April 10-11, 2012.
  • Session Chairman of a technical session in the Technical Symposium at Sri Krishna Engineering College, Coimbatore, on March 2, 2012.
  • Acted as a Chairman of a session in the Technical Symposium at SNS College of Technology, Coimbatore on March 2, 2012.
  • Coordinator for the Second International Conference on Simulation Modeling and Analysis (COSMA 2011) held at Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641 112, from December 14-16, 2011. Also chaired two technical sessions at COSMA 2011.
  • International Conference on Recent Advances in Mechanical Engineering (ICRAME2010) from April 8-9, 2010, at Noorul Islam University campus, Kumaracoil, Kanyakumari, Tamil Nadu, India.
  • Session chair at Oxford Engineering Colege, Tiruchirappalli for the OXCEM-2K7 on February 23, 2007.

Co and Extra-Curricular Activities 

  • TIES Silver Medalist in Hockey
  • Represented College and School in Basket Ball Team
  • Actively participated in Scout, N.C.C. and N.S.S. in School and College levels

Publications

Publication Type: Conference Proceedings

Year of Publication Title

2019

S. Sudarshan, Priyadarshuan, A., and Dr. Anbuudayasankar S. P., “Analysis of the barriers in implementing green supply chain management (GSCM) practices: a hybrid approach”, IOP Conference Series: Materials Science and Engineering, International Conference on Advances in Materials and Manufacturing Applications (IConAMMA-2018), Bengaluru, India, vol. 577. p. 012005, 2019.[Abstract]


Green supply chain management (GSCM) is being felt as the need of the day in many industries. This is because of the mounting evidence in favour of global warming and climate change due to human activities. The government is being pressurized by the people and the government in turn pressurizes the industries to adopt green practices. Apart from this there is moral responsibility for the managers of a company to reduce their ecological footprint. Due to these reasons there is a need to implement GSCM practices. As with anything we can observe that there are a lot of barriers that hinder the implementation of green supply chain (GSC) practices. To understand the nature of these barriers a literature survey was conducted on the barriers that affect small and medium scale industries. Fifteen barriers were recognised and literature survey was conducted on the analysis that had previously been done on these barriers. To address these barriers, they have been evaluated using MCDM approaches that are suited for the unique nature of these barriers (i.e., the barriers interact with each other). The effectiveness of removal of each barrier should be considered and should be integrated with a structural model to achieve the goal. For, this purpose SAW, TOPSIS, AHP and ISM have been used.

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2019

T. M., Rameshkumar, K., Dr. Anbuudayasankar S. P., and Ramiya, S., “Efficient dispatching rules for minimizing flow time and tardiness based performance measures in a job shop scheduling”, International Conference on Mechanical and Building Sciences (ICMBS' 19), SNS College of Technology, Department Of Mechanical Engineering, Coimbatore, Tamilnadu. 2019.

2019

R. Saravanan, M. S. Narassima, and Dr. Anbuudayasankar S. P., “An analysis on the forecasting methodologies for procurement of spare components – A case study (Best paper)”, International Conference on Mechanical and Building Sciences (ICMBS' 19),SNS College of Technology, Department Of Mechanical Engineering, Coimbatore, Tamilnadu . 2019.

2019

P. Pavithran and Dr. Anbuudayasankar S. P., “Modelling and simulation of supply chain in a textile industry (Best Paper)”, International Conference on Mechanical and Building Sciences (ICMBS' 19), SNS College of Technology, Department of Mechanical Engineering, Coimbatore, Tamilnadu . 2019.

2019

M. Venkatramanan and Dr. Anbuudayasankar S. P., “Development of a decision support tool using QFD, FMEA and AHP methods (Best Paper)”, International Conference on Mechanical and Building Sciences (ICMBS' 19), SNS College of Technology, Department Of Mechanical Engineering, Coimbatore, Tamilnadu. 2019.

2019

S. Manikandaprabhu and Dr. Anbuudayasankar S. P., “Productivity Improvement through Lean Manufacturing”, International Conference on Mechanical and Building Sciences (ICMBS' 19), SNS College of Technology, Department Of Mechanical Engineering, Coimbatore, Tamilnadu. 2019.

2019

S. Kirutiga, Sridharan, B. Kumar, Datla, S. Sunil Varm, Narne, A. Sai, and Dr. Anbuudayasankar S. P., “Mathematical modeling on cost effective green logistics”, International Conference on Mechanical and Building Sciences (ICMBS' 19), SNS College of Technology, Department Of Mechanical Engineering, Coimbatore, Tamilnadu. 2019.

2018

G. Balamurugan, Sriram, S., Shradha, P., Arvind, V. K., and Dr. Anbuudayasankar S. P., “Comparison of MCDM techniques for crop selection (Best paper)”, International Conference on Contemporary Design and Analysis of Manufacturing and Industrial Engineering Systems - CDAMIES 2018 at NIT Tiruchirappalli on 20-01-2018 . 2018.

2018

Prashant R. Nair and Dr. Anbuudayasankar S. P., “Tackling Supply Chain through High Performance Computing: Opportunities and Challenges”, Silicon Photonics {&} High Performance Computing, vol. 718. Springer Singapore, Singapore, pp. 1-7, 2018.[Abstract]


Conversion of a supply chain to value chain requires agility, adaptability, communication, collaboration, decision support, elasticity, robustness, sensitivity, and visibility. High-Performance Computing (HPC) and cloud computing systems bring additional benefits of scalability, integration, portability, processing power, storage, and interoperability for Supply Chain Management (SCM). Mega corporations and retail giants like Wal-Mart and Pratt {&} Whitney have deployed HPC for SCM and thereby achieved efficient and effective data administration and analysis. But the usages of HPC for SCM are restricted to a few large enterprises. Deployment challenges include difficulty in migrating from legacy to high-end systems, high cost, lack of skilled manpower, and application software. HPC along with the cloud computing paradigm integrated in the Social Mobile Analytics and Cloud (SMAC) stack can emerge as a game changer to integrate all stakeholders in the value chain into a social network real-time and actionable intelligence. The access to updates and timely information from all supply chain partners will also transform enterprises to be forecast-driven as opposed to their conventional demand-driven nature.

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2018

D. Vineesh, Dr. Anbuudayasankar S. P., M. S. Narassima, and P., R. C. S., “Enhancing Dairy Manufacturing through customer feedback: A statistical approach”, IOP Conference Series: Materials Science and Engineering, vol. 310. Institute of Physics Publishing, 2018.[Abstract]


Dairy products have become inevitable of habitual diet. This study aims to investigate the consumers' satisfaction towards dairy products so as to provide useful information for the manufacturers which would serve as useful inputs for enriching the quality of products delivered. The study involved consumers of dairy products from various demographical backgrounds across South India. The questionnaire focussed on quality aspects of dairy products and also the service provided. A customer satisfaction model was developed based on various factors identified, with robust hypotheses that govern the use of the product. The developed model proved to be statistically significant as it passed the required statistical tests for reliability, construct validity and interdependency between the constructs. Some major concerns detected were regarding the fat content, taste and odour of packaged milk. A minor proportion of people (15.64%) were unsatisfied with the quality of service provided, which is another issue to be addressed to eliminate the sense of dissatisfaction in the minds of consumers. © Published under licence by IOP Publishing Ltd.

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2017

V. R. Sathish Kumar, Dr. Anbuudayasankar S. P., and K. Ramesh Kumar, “Optimizing Bi-objective, Multi-echelon Supply Chain Model Using Particle Swarm Intelligence Algorithm”, IConAmma 2017. 2017.[Abstract]


In the current globalized scenario, business organizations are more dependent on cost effective supply chain to enhance profitability and better handle competition. Demand uncertainty is an important factor in success or failure of a supply chain. An efficient supply chain limits the stock held at all echelons to the extent of avoiding a stock-out situation. In this paper, a three echelon supply chain model consisting of supplier, manufacturing plant and market is developed and the same is optimized using particle swarm intelligence algorithm.

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2017

A. Nair, Murali, K., Dr. Anbuudayasankar S. P., and Arjunan, C. V., “Modelling and Optimising the Value of a Hybrid Solar-Wind System”, IOP Conference Series: Materials Science and Engineering, vol. 197. Institute of Physics Publishing, 2017.[Abstract]


In this paper, a net present value (NPV) approach for a solar hybrid system has been presented. The system, in question aims at supporting an investor by assessing an investment in solar-wind hybrid system in a given area. The approach follow a combined process of modelling the system, with optimization of major investment-related variables to maximize the financial yield of the investment. The consideration of solar wind hybrid supply presents significant potential for cost reduction. The investment variables concern the location of solar wind plant, and its sizing. The system demand driven, meaning that its primary aim is to fully satisfy the energy demand of the customers. Therefore, the model is a practical tool in the hands of investor to assess and optimize in financial terms an investment aiming at covering real energy demand. Optimization is performed by taking various technical, logical constraints. The relation between the maximum power obtained between individual system and the hybrid system as a whole in par with the net present value of the system has been highlighted. © Published under licence by IOP Publishing Ltd.

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2016

P. Rudresh, V. Ramesh, Dr. Anbuudayasankar S. P., R. P. Kikani, and A. Khandelwal, “Transportation and logistics management in a pump manufacturing industry involving subcontractors”, 2nd International Conference on Advanced Engineering and Technology for Sustainable Development (ICAETSD 2016), Karpagam College of Engineering, Coimbatore, vol. 11. pp. 6070 - 6074, 2016.[Abstract]


In most industries today productivity improvement is a major cause for concern. This paper focuses on the logistics scenario followed by the company, involving contractors and subcontractors. In the company, more than 75% of the manufacturing processes are outsourced by the manufacturer and there is no orderly or pre-planned method to efficiently manage the logistics involved in outsourcing the required components. To help improve the current state, a Vehicle Routing Problem (VRP) was solved applying the existing constraints. The solution was obtained based on the VRP concepts. ODL Studio, an open source and free software was used to solve this rich VRP formulated. The obtained results were integrated with a map showing the optimal transportation sequence and the routes to be taken, thus instructing the driver on the sequence to be followed. With a structured mathematical approach towards the transportation problem, the total distance traveled and time taken by the vehicle was reduced. With reduction in time, there is an increase in the number of products that are being worked on at the manufacturer's facility. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

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2016

S. Suryanarayanan, Arunkumar,, Balaji, K., Dr. Anbuudayasankar S. P., and Selvaraj, J., “Exergy analysis of modular box approach in green sand moulding”, 2nd International Conference on Advanced Engineering and Technology for Sustainable Development (ICAETSD 2016), Karpagam College of Engineering, Coimbatore. 2016.

2015

R. Srikanthan, Karthik, M., Sivakarthik, N., Indukumar, P., and Dr. Anbuudayasankar S. P., “Cloud Based Supply Chain Management for Small and Medium Scale Enterprises”, 1st International Conference on Advanced Engineering and Technology for Sustainable Development (ICAETSD 2015), Karpagam College of Engineering, Coimbatore. 2015.

2015

S. S, Sivaramakrishnan, S., L, G., and Dr. Anbuudayasankar S. P., “A Supply Chain Business Model With Subcontracting”, Third International Conference on Business Analytics and Intelligence (BAI CONF 2015), Indian Institute of Management Bangalore (IIMB). 2015.[Abstract]


This paper aims to tackle the problem of profitably meeting product demand through planning of production and storage, assisted by subcontracting. The proposed model enhances profit by minimizing the net cost of production, considering a fluctuating product demand. The data required for testing the model was obtained from existing research literature and industrial experts. The approach involves futuristic demand forecasting and production planning using computational analytics. In addition to the increase in profit, the minimisation of the subcontracting costs adds value to the profit. The results also provide motivation for further research.

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2015

Prashant R. Nair and Dr. Anbuudayasankar S. P., “Social Mobile Analytics Cloud (SMAC) stack for Supply Chain Management”, Computer Society of India (CSI) - 2015; CSI - 50th Golden Jubilee Annual Convention. New Delhi, 2015.

2015

Prashant R. Nair and Dr. Anbuudayasankar S. P., “Tackling Supply Chain through High Performance Computing: Opportunities and Challenges”, Computer Society of India (CSI) - 2015; CSI - 50th Golden Jubilee Annual Convention. New Delhi, 2015.

2014

L. Venkatesh, Dr. Anbuudayasankar S. P., Himateja,, Keshore, D., and K. Ganesh, “Location, Allocation and Routing Problem with a greener perspective”, International Conference on Trends in Technology for Convergence (TITCON’14), AVS Engineering College, Salem, Tamil Nadu. 2014.[Abstract]


The main concern of this paper is to model the location and the allocation of the warehouses to the demand points such that that the distance travelled by the transportation vehicle with higher load is reduced. Considering the greener perspective a novel approach is introduced by considering the carbon emissions from the transportation vehicles. In this paper, a model has been proposed for location and allocation of warehouses which is aimed at reducing the carbon emissions by proper location of the warehouses. Keywords-Allocation , Carbon emissions, Distance travelled, Greener, Higher load, Location, Transportation vehicle.

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2014

M. Safeer, Dr. Anbuudayasankar S. P., K. Ganesh, and Saleeshya, P. G., “A stochastic planning model for humanitarian relief response logistics”, The International Conference on Modeling, Optimization and Computing (ICMOC 2014), Noorul Islam University, Kanyakumari, Tamilnadu, (Scopus Indexed). 2014.

2014

A. V. Iyer, H. Bhat, A., Krishna, K. K., and Dr. Anbuudayasankar S. P., “Green Manufacturing Approaches for the Foundry Sector”, The International Mechanical Engineering Congress (IMEC) 2014, National Institute of Technology, Tiruchirappalli, Tamilnadu. Trans Tech Publications Ltd, 2014.[Abstract]


Green manufacturing is a sustainable approach, designed to use energy, water and other resources more efficiently thereby reducing the overall impact on the environment. Improved quality of life, better health conditions and diminished costs are other benefits. This paper focuses mainly on the foundry industry, as being very energy intensive, it offers immense scope for the application of green concepts. A case study conducted in a foundry in Tamil Nadu, gives an over view as to how green manufacturing can be made possible in the foundry industry. Each process involved in the foundry was analyzed using green concepts and alternatives and suggestions were made. Additional green strategies have also been discussed.

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2014

S. A. Hari Prasad and Dr. Anbuudayasankar S. P., “Adoption of Cloud Computing Technologies in Supply Chain Management”, International Conference on Advances in Design & Manufacturing 2014 (ICAD&M’14), National Institute of Technology, Tiruchrappalli, Tamilnadu. 2014.

2014

J. Venugopalan, Sarath, V. S., Pillai, R., Krishnan, S., and Dr. Anbuudayasankar S. P., “Analysis of Decision Models in Supply Chain Management”, Global Congress on Manufacturing Management (GCMM-2014), VIT university, Vellore, Tamilnadu,(Procedia Engineering, Elsevier), vol. 97. 2014.[Abstract]


In today's scenario, supply chain processes have been greatly influencing businesses and trades globally. Customer needs are sought to be met reducing lead times thereby leading to enhanced delivery with quality standards and reasonable prices kept in mind. Demands from the customers may vary from time to time. Considering the historical as well as interpreted data and analyzing all factors involved, firms/organizations can forecast what the trade scenario in the future. This helps any organization in systemizing their products/services, managing inventories, warehousing arrangements. All this leads to positive growth for both suppliers and buyers in the long run. Supply chain management (SCM) has been the dominant research paradigm of the last few decades. Considerable efforts have been put forth in developing decision models for solving supply chain related problems.

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2014

B. M. M. S. R. S., Dr. Ratna Kishore V., Dr. Anbuudayasankar S. P., and Balaji K., “Power Generation by High Head Water in a Building using Micro Hydro Turbine”, International Conference for Energy and Environment. JNTU Hyderabad, 2014.[Abstract]


Demand for green energy production is arising all over the world. A lot of emphasis is laid in making the buildings green. Even a small amount of energy savings made contribute to saving the environment. In this study, an idea is proposed and studied to extract power from the high head water in the pipelines of a building. A building of height 15 m is considered for this study. Water flowing in the pipe has sufficient energy to run a micro hydro turbine. The feasibility of producing electrical energy from the energy of pipe water is found. The motivation is to find the feasibility of generating power using a low-cost turbine. The experimental setup consists of micro turbine of 135 mm diameter coupled to a 12-V DC generator; LEDs and resistors are employed to validate the results. The theoretical calculations were presented using the fundamental equations of fluid mechanics. The theoretical results are validated using experimental and numerical results using CFD simulation. In addition, exergy analysis has been carried out to quantify the irreversibilities during the process in the system. © 2015 Springer-Verlag Berlin Heidelberg

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2013

V. Padmanaban, Dr. Anbuudayasankar S. P., Ashokkumar, A., and Sharan, A., “Development of Bio based Semi-Synthetic Metal Working Fluid from Industrial Waste Water”, International Conference on Design and Manufacturing (IConDM2013), Indian Institute of Information Technology, Design & Manufacturing (IIITD&M) Kancheepuram, Chennai-127, vol. 64. pp. 1436 - 1444, 2013.[Abstract]


In metal working processes, the use of mineral, synthetic and semi-synthetic cutting fluids have gained widespread acceptance. However, the harmful effects and high risk of life threatening occupational hazards to the machinists as well as causing environmental degradation is discouraging to continue its use in the near future. In this work, micro algal oil, as a potential candidate for producing high performance metal working fluid is investigated. The preliminary constituent of base oil is produced using solvent extraction method with optimized reaction parameters. Further, secondary formulation technique of additives for improving the performance related parameters like extreme pressure wear resistance, corrosion resistance and thermal-oxidative stabilities was incorporated. It is found from this investigation that, the critical tribological performance influencing properties such as higher shear stability, low temperature stability and corrosion resistance are higher in chemically modified algal oil as compared to vegetable oil based metal working fluid.

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2011

R. A. Malairajan, K. Ganesh, Dr. Anbuudayasankar S. P., and Nagarajan, S., “Manufacturing Operations Improvements for Global Electrical and Electronics Products Manufacturing Organization – A Case Study”, Second International Conference on Simulation, Modeling and Analysis, COSMA 2011, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641112, Tamilnadu, India. 2011.

2011

K. Ganesh, Sivakumar, P., and Dr. Anbuudayasankar S. P., “Research Prospects in Sustainable Supply Chain Routing Problems”, Second International Conference on Simulation, Modeling and Analysis, COSMA 2011, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore - 641112, Tamilnadu, India, December 14 – 16, 2011. 2011.

2011

S. Nagarajan, Ganesh, K., and Dr. Anbuudayasankar S. P., “Organizational Structure and Communication Design for Knowledge Management Solution Implementation”, Second International Conference on Simulation, Modeling and Analysis, COSMA 2011, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore – 641112, Tamilnadu, India. 2011.

2008

Dr. Anbuudayasankar S. P., K. Ganesh, K. Mohandas, and Arunachalam, S., “Hybrid Clustering Approach for Balancing the Workload of Drivers A Variant of Multiple Traveling Salesman Problem”, International Conference on Logistics and Supply chain Management, ILSCM 2008, PSG College of Technology, Coimbatore, Tamilnadu, India. 2008.

2008

Dr. Anbuudayasankar S. P., K. Ganesh, K. Mohandas, and S. C. Lenny Koh, “Business and Analytical Model for Milk-Run Logistics of Dairy Supply Chain -A Case Study”, 6th International Conference on Supply Chain Management and Information Systems, SCMIS - 2008, National Institute of Technology, Tiruchirappalli. 2008.

2006

K. Ganesh, Dr. Anbuudayasankar S. P., and T. T. Narendran, “Multicriteria, multiple type vehicle routing problem for ATM Scheduling”, International Conference on Global Manufacturing and Innovation (An Advanced Optimization Technology Approach) GMI 2006, Coimbatore Institute of Technology, Coimbatore. 2006.

2002

Dr. Anbuudayasankar S. P. and Elangovan, D., “Sensitivity Analysis of an Industrial Problem – A case Study”, International Conference in Operations Research for Development ICORD 2002, Anna University, Chennai. 2002.

2002

Dr. Anbuudayasankar S. P. and Elangovan, D., “Analysis of Unbalanced Industrial Transportation Problem with a maximization Objective – A case Study”, International Conference in Operations Research for Development ICORD 2002, Anna University, Chennai. 2002.

Publication Type: Journal Article

Year of Publication Title

2019

Kartik Balkumar, M., H. Teja, Gunasekaran, A., Dr. Anbuudayasankar S. P., and K. Ganesh, “Critically Examining the Prevalence and Future Trend of Green Supply Chain Management Research: A Systematic Literature Review”, International Journal of Production Research (Under Review), 2019.

2019

Dr. Anbuudayasankar S. P., K. Ganesh, Koh, S. C. L., and K. Mohandas, “Meta Heuristics for Multiple Travelling Salesman Problem with Workload Balancing”, International Journal of Production Research (Under Review), 2019.

2019

K. Ganesh, T. T. Narendran, and Dr. Anbuudayasankar S. P., “ACCESS: A multi-phase heuristic to solve a vehicle routing problem with simultaneous delivery and pick-up”, International Journal of Operational Research (Under Review), 2019.

2019

M. Thenarasu, Rameshkumar, K., and Dr. Anbuudayasankar S. P., “Simulation modelling and innovative application of Multi criteria decision making analysis for job shop scheduling”, International journal of industrial engineering theory applications and practice, 2019.

2019

M. S. and Dr. Anbuudayasankar S. P., “Productivity Improvement through Lean Manufacturing”, International Journal of Engineering and Advanced Technology (IJEAT) , vol. 8, no. 5, 2019.[Abstract]


Traditionally operated manufacturing industries are facing lot of problems which includes manufacturing cost, longer manufacturing lead time, and quality of the product and customer satisfaction. Even though the lean tool has proven the process improvement consistently, SME’s are not focused much on lean manufacturing philosophies. In this research work carried out in manufacturing industry, by improving productivity and process performance through lean tools such as bottleneck analysis, value stream mapping, kaizen and make or buy decision are used to identify the different problems and to address the variety of solutions. Loading and unloading time can be reduced by using kaizen tool, so that the productivity has been increased. Most of the companies primarily choosen to connect with lean manufacturing for four important reasons to reduce manufacturing resource requirements, to increase customer satisfaction level, and to reduce manufacturing cycle time, in which it increases the profit of the industry. This case study exhibits the various wastes in manufacturing industry such as inventory, lead time reduction and recycling of scrap to improve the productivity. Thus lean tools such as VSM, bottleneck analysis, Kaizen, make or buy decision helps in identify the different type of wastes producing in the organization and possibilities for eliminating/reducing them.

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2019

Narassima M. S., S., I., Dr. Anbuudayasankar S. P., and P., P., “Effect of reinforcement and aging time on wear behavior and mechanical properties of Aluminium LM 4 2427”, International Journal of Engineering and Advanced Technology (IJEAT), vol. 8, no. 5, pp. 2426-2433, 2019.[Abstract]


Aluminium LM4, is widely used in aerospace and automotive industries owing to its light weight and high strength/weight ratio. Further increase in strength might widen the scope of usage of the alloy. Hence, to achieve this, the research investigates on the effects of artificial aging on the wear behavior and mechanical properties of Aluminium LM4 alloys. The LM4 ingots stir cast, homogenized, solution heat treated and aged. The specimen were machined according to the ASTM standards for Tensile, Brinell hardness and Pin-on-Disc wear test. The wear test was conducted for different combinations of applied loads and sliding velocities. It was evident that, the Ultimate Tensile Strength (UTS) and Brinell hardness increased as the aging time increased, before over aging occurred. Wear rates decreased with an increase in hardness. The results revealed that, the wear rates decreased as the aging time and applied load increased. Adverse and undesirable changes in properties were also observed due to over aging.

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2019

Venkata Krishnarao Koganti, Nagaraju Menikonda, Dr. Anbuudayasankar S. P., T. Krishnaraj, Rajesh Kumar Athhukuri, and Mokkapati Sai Vastav, “GRAHP TOP model for supplier selection in Supply Chain: A hybrid MCDM approach”, Decision Science Letters, vol. 8, no. 1, pp. 65 - 80, 2019.[Abstract]


Decision makers of various disciplines are facing challenges because of vast availability of options in the real world. Even though each and every decision made by a decision maker is being done with a great knowledge and conscience, the decision maker needs suitable support to choose the most favorable option to acquire great results in an agile environment. Supplier selection is imperative for an efficient supply chain management. Many industries are in need of effective decision making tools which aids them in valuable supplier selection. This paper proposes a model using Multi Criteria Decision Making (MCDM) tools viz., Grey Relational Analysis (GRA), Analytical Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). GRA is used to shortlist the criteria from the available options, while AHP is used to assign weights to the criteria. The final supplier in the selection process is obtained using TOPSIS. The proposed GRA-AHP-TOPSIS model (GRAHP TOP) is used to analyze and formulate the important criteria and the applicability of the model is tested on a case of a small scale industry located in South India.

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2019

A. Sruthi, Dr. Anbuudayasankar S. P., and Jeyakumar, G., “Energy efficient green vehicle routing problem”, International Journal of Information Systems and Supply Chain Management, vol. 12, no. 4, pp. 27-41, 2019.[Abstract]


The greenhouse gas emissions from the transportation sector are one of the major contributors to global warming today. Freight share to GHG emissions is likely to increase 2-fold by 2050. This makes it critical for CO2 emissions to be reduced through an optimized transportation strategy. Vehicle routing, when done efficiently, can reduce these emissions across countries. In this attempt, the traditional distance minimization objective of the vehicle routing problem has been replaced with an energy-emission-centric objective. A model is formulated taking energy and emissions into simultaneous consideration and a typical VRP problem has been evaluated using a genetic algorithm. The application of the proposed model is observed to reduce emissions significantly compared to conventional models. Considering the possibility of increase in carbon tax in future, energy-emission minimized routing would not only aid “green logistics,” but also reduce the environmental costs incurred.

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2019

N. V Kumar, Raja, R. S. Pranav, Sanjeevi, K. S., Dr. Anbuudayasankar S. P., and Srihari S., “Multi-Criteria Engine Selection for Unique Purpose using AHP”, IOP Conference Series: Materials Science and Engineering, International Conference on Advances in Materials & Manufacturing Applications, IConAMMA 2018, vol. 577, p. 012118, 2019.[Abstract]


In this automotive world the selection of a vehicle based on engine plays a major role, in which all the parameters of the engine need to be considered. The engine selection for three purposes has been considered in this paper. Most influencing 10 parameters of each purpose have been shortlisted with the help of experts in the respective field. Then the parameters are ranked with the help of Analytical Hierarchy Process (AHP). It helps to prioritise the parameters while selecting an engine for specific purpose. In AHP the relative matrix is formed by using pairwise comparison with the help of experts then the relative matrix is squared and eigen vector is found. The eigen vector is used to rank the parameters and is reported as per the priority for the respective purpose. The method proposed in this paper can be used as a decision-making tool while selecting an engine for a specific purpose.

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2019

M. Venkatramanan, Dr. Anbuudayasankar S. P., and M. S. Narassima, “Enhancement of operational performance of a foundry”, International Journal of Engineering and Advanced Technology, vol. 8, no. 5, pp. 2325-2333, 2019.[Abstract]


As a result of rapid environmental degradation, there are several adverse impacts like increase in global temperature, Change in monsoon pattern, low air quality etc., which affect the living beings on earth. Hence, more stringent environmental laws are in place to control the release of harmful substances into the environment. Foundries are under tremendous pressure to comply with these environmental standards. The Operational performance of the various foundry departments plays an important role in minimizing the wastage of materials. The molding and melting are the important operations in a foundry. These two departments are more dependent on the skills of the workers for effective functioning. However, foundries yet do not have proper system for measurement of the performance levels of these departments. The present work focuses on the development of a feasible system for monitoring and improving the operational performance of the melting and molding departments in a foundry. The PDCA cycle was adapted to study and suggest a suitable system to the two departments. For the melting department, a Linear Programming model is formulated to calculate the amount of raw materials needed to obtain the required melt composition. For the molding department, The process parameters influencing mold hardness is optimized using Design of Experiments and a regression model is fitted to predict the mold hardness in real time. The study was done and validated in a foundry located in south India. © BEIESP.

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2018

Dr. Anbuudayasankar S. P., Arvind, V. K., Balamurugan, G., Sriram, S., and Shradha, P., “An integrated framework for analysing flood control parameters using AHP, ELECTRE and TOPSIS methodology”, Urban water journal, 2018.

2018

M. Thennarasu, Rameshkumar, K., Dr. Anbuudayasankar S. P., Arjunbarath, G., and P. Ashok, “Development and selection of hybrid dispatching rule for dynamic job shop scheduling using multi-criteria decision making analysis (MCDMA)”, International journal for quality research (Accepted – In press), 2018.

2018

Dr. Shriram K Vasudevan, Seshadri, N., Dr. Anbuudayasankar S. P., and M. Thennarasu, “Performance improvement in Cardiology department of a hospital by Simulation”, International Journal of Advanced Intelligence Paradigms (Accepted – In press), 2018.

2018

Resmi Ann Thomas, Sandhya Pentareddy, L. Suganthi, Gemini V. Joy, and Dr. Anbuudayasankar S. P., “Road to employee commitment: the role of empowerment, leadership and culture”, International Journal of Business Innovation and Research, Inderscience Enterprises Ltd, vol. 16, no. 4, pp. 486 - 506, 2018.[Abstract]


This exploratory research seeks to identify the relationships between the leadership, empowerment and commitment within the integrated model of competing values framework (CVF) of organisational culture. A conceptual model which relates the constructs to commitment is developed. The study attempts to use a social constructionist approach and scenario planning, which falls under the broader realm of qualitative analysis. Hypothetical cases are used to develop two scenarios. The study proposes an integrated model of CVF, and also provides greater understanding of the competencies required in the organisation to move from one competing value quadrant to another. The paper helps managers gain better understanding of managerial roles, their inter-relationships to each other and how to apply them more effectively. It further develops an understanding by providing a model of how to transform an organisation to be a self-sustained one. The study also brings forth a constructive approach in management.

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2018

Chin Yao Chen, Tzong-Ru Lee, Ya Ching Yang, Dr. Anbuudayasankar S. P., and Ann Thomas Resmi, “The Study of Influential Factors Causing an APP Being Removed”, International journal of Business Innovation and Research, vol. 15, no. 2, 2018.[Abstract]


Due to the fact that more and more people use iPods and smart phones in their daily life, mobile phone applications (APP) have become one of the key business opportunities for a corporation's success. It is important to understand the factors leading to customer's satisfaction because it ensures that APPs will be retained and continuously used by the customer. It is also important to combine the program of the APP along with customers' perspective. The aim of the study is to elucidate the key factors that would result in customers removing the APP. The research methods used are GRA, TRIZ and SIM. Key influential factors are sorted out through grey relational analysis (GRA). Strategies are generated by the theory of inventive problem solving (TRIZ), and the priority of strategies-executing is provided by interpretive structural modelling (ISM). The research findings indicate seven key factors to understand the reason why customers delete an APP, and 12 strategies to increase customers' satisfaction that would ensure continuous use of the APP.

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2018

M. S. Kumar, Dr. Anbuudayasankar S. P., and Variyer, S., “Scheduling and optimisation of refinery operations under fluctuating bitumen demand”, International Journal of Energy Technology and Policy, vol. 14, no. 2/3, pp. 170 - 196, 2018.[Abstract]


This study presents a new planning algorithm for petroleum products with fluctuating demand. The proposed algorithm is tested with analysing and forecasting bitumen sales of a refinery. The algorithm presented in this study utilises decomposition forecasting with scenario analysis and optimisation. We introduced a risk measure factor in the objective function that would help to forecast the sales with more accuracy. Scenario analysis is conducted to analyse the bitumen sales and production at different conditions. The proposed algorithm would generate a favourable refinery operation schedule that would enable the production and sales with more refinery margin. The planning algorithm is validated with a case study.

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2017

Tzong-Ru Lee, Chen, S. - Y., Chen, I. - C., A. T. Resmi, K. Ganesh, and Dr. Anbuudayasankar S. P., “Using TOC to develop U-tourism and to formulate its marketing strategy”, International Journal of Business Innovation and Research, vol. 14, pp. 206-238, 2017.[Abstract]


The progress of information and telecommunication technology (ICT) has accelerated the arrival of an 'Ubiquitous Society', where information can be received and exchanged anytime and anywhere. The transformation of commerce comes from brick and mortar stores to electronic commerce and to mobile commerce, now we call 'ubiquitous commerce' (U-commerce). U-commerce implies ubiquity, universality, uniqueness and unison, and brings lots of new challenges to marketers. Meanwhile, ICTs also provide new opportunities to tourism industry, and its food and beverage sector. Therefore, this study uses theory of constraint (hereafter TOC) to identify the existing challenges of tourism industry in Taiwan and provide the possible solutions of utilising ICTs properly. Then construct the U-tourism and formulate its corresponding marketing strategies. Hence, the results of this study could be divided into three major parts: 1) identifying tourist's demand and corresponding ICTs by questionnaires; 2) through TOC to map Taiwan's tourism challenges with possible solutions; 3) formulating new marketing strategies for U-tourism with U-space as the infrastructure. Copyright © 2017 Inderscience Enterprises Ltd.

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2017

Prashant R. Nair, Sahay, M., and Dr. Anbuudayasankar S. P., “Investigation Through System Dynamics for the Benefits of ICT Intervention in Distribution”, Indian Journal of Management, vol. 10, no. 8, pp. 42-51, 2017.[Abstract]


The objective of the paper was to investigate through Systems Dynamics (SD) methodology, the impact and benefits of information and communication technology (ICT) tools' intervention in the supply chain process of distribution. Accessing information in a timely and actionable manner as also negotiating and managing relationships within and between organizations in the supply chain has become a source of competitive advantage for businesses. ICT deployments and interventions across the supply chain have become a performance enabler and determinant of competitive advantage for many corporations. These improve supply chain visibility, collaboration, coordination and integration, and thereby dramatically improve the supply chain performance. One process in supply chain management, namely distribution, was described using SD. Introduction of a parameter, ICT capability dramatically changed the status quo and gave rise to new positive balancing or reinforcing loops. This parameter was measured in terms of an index, ICT capability index, which depends on knowledge, social, and economic dimensions.

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2017

Gemini V. Joy, S. Paul Silvian, Khalid Alahmari, and Dr. Anbuudayasankar S. P., “Utilitarian dimensions and behavioural inconsistencies of young fanatic mobile phone users - A study on Indian perspectives”, International Journal of Enterprise Network Management, vol. 8, pp. 78-95, 2017.[Abstract]


Mobile phones have turned out to be indispensable in today's society and are regarded as a communication technology revolution. Many psychologists have started giving warnings about the ill effects of these technologies and studies are also pointing towards potential addictive behaviour towards use of mobile phones. This study tries to find out the role of excessive mobile phone usage in the m-health of users. The paper tries to unravel that there is a need to shift focus from m-health to m-p-health, mobile psychological health. The study looks at whether excessive mobile phone usage falls under the category of non-drug addiction and also tries to identify the product attributes and services perception of mobile phone usage and behaviour dysfunctionalities. The study also tries to analyse whether there is gender influences on the behavioural dimensions of fanatic mobile phone users. © Copyright 2017 Inderscience Enterprises Ltd.

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2017

N. M. Seshadri, Dr. Anbuudayasankar S. P., Abhinavaram, J., and Dr. Shriram K Vasudevan, “Physicians’ and users’ perceptions towards wearable health devices”, Indonesian Journal of Electrical Engineering and Computer Science, vol. 5, 2017.[Abstract]


Healthcare plays a vital role in economic development of a country, and has a major impact on the entire wellness of humankind. One of the biggest issues of all times, Blood Pressure is prevailing in patients of all countries. In developing countries like India, it is prevalent among people of diverse age groups, which somehow permeates into their wellness, reflecting and slowing down the growth of the country as well as that of an individual. As Blood Pressure is identified as one of the major contributors to Cardio Vascular Diseases, there is an urge to educate people about the consequences. The research focuses on various factors and their levels of impact on acceptance of Mobile Health Management Services. Appropriate tests have been carried out for validating this hypothesis. All the details are presented in the results’ section with clear discussion and description.

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2016

M. Safeer, Dr. Anbuudayasankar S. P., Dr. Saleeshya P.G., and K. Ganesh, “A stochastic planning model for humanitarian relief response logistics”, International Journal of Enterprise Network Management, vol. 7, no. 3, pp. 250-259, 2016.[Abstract]


During emergencies, decision making to support relief preparedness and response activities are challenging task requiring quick and effective action from responders under uncertainty conditions. This paper proposes a response planning stochastic model for humanitarian transportation operations. The objective of this proposed model is to minimise total transportation duration during emergency situations. This model aims to maximise satisfaction levels through attaining quick response which can help in making decisions on disaster relief logistics. © Copyright 2016 Inderscience Enterprises Ltd.

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2016

Prashant R. Nair and Dr. Anbuudayasankar S. P., “An investigation on the benefits of ICT deployment in Supply Chain Management (SCM)”, Indian Journal of Science and Technology, vol. 9, no. 30, 2016.[Abstract]


Objective: The objective of the paper is to investigate the influence of deployment of Information and Communication Technology (ICT) tools in a supply chain context.
Methods/Analysis: The influence of deployment of ICT in Supply Chain Management (SCM) is studied using System Dynamics (SD) methodology using the tool, Causal Loop Diagram (CLD) using software Vensim.
Findings: SCM discipline is grappled with dynamic and operational changes and challenges and this unpredictability can be understood better using SD. ICT capabilities fundamentally improve supply chain integration and performance. ICT adoption for SCM improves collaboration, workflow and decision-making which lead to cost savings; improved operational efficiency and inventory visibility. One process in SCM namely inventory control is described using SD. Introduction of a parameter, ICT capability dramatically changes the context and gives rise to new positive feedback loops Novelty/Improvements: The paper uses CLD for ICT influence on SCM process of inventory control. This can be extended for all supply chain management processes in both planning and execution. Case studies with the influence of specific ICT tools like RFID, Cloud, Social Media, Business Analytics, Mobile technology and Multi-agent systems are also possibilities for extending the study. Supply chain managers can deliberate on decisions, strategy, issues and policy by developing scenarios using SD tools and software packages. However the research limitation is that this is a simulation in a specific supply chain context. Generalization of this scenario may not be possible.

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2016

Prashant R. Nair and Dr. Anbuudayasankar S. P., “Tackling supply chain management through RFID: Opportunities and challenges”, Advances in Intelligent Systems and Computing, vol. 438, pp. 467-475, 2016.[Abstract]


RFID is a powerful technology that provides enterprises with improved inventory tracking, transparency, and visibility, thereby enhancing operational efficiency and better engagement and dialog with shipping channels and storage depots. RFID helps enterprises to attain just in time (JIT), vendor managed inventory (VMI), or zero inventory levels. This paper explores the current state of affairs with respect to technology of RFID and its current usage in diverse application domains and contexts of supply chain. Information is vital for decision support and the quality of this information is emerging as the most vital metric to measure supply chain performance. RFID provides supply chain managers with accurate, actionable, and timely information for decision support. Various implementation barriers and RFID adoption challenges are discussed. Successful demonstrations of RFID usage for supply chain activities by progressive companies are showcased. By providing a glimpse into the immense business value and wide-ranging strategic advantages of using RFID for supply chain management, the paper exhorts companies to tap the vast potential of this exciting and promising technology. Integration of RFID within emerging trends like Internet of things and social media analytics and cloud (SMAC) technologies is the future research direction of this technology. © Springer Science+Business Media Singapore 2016.

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2016

Sathishkumar V. R., Dr. Anbuudayasankar S. P., and M. Thennarasu, “Design and Development of Simulation based Model to Rank Job Flow Strategies”, ARPN Journal of Engineering and Applied Sciences, vol. 11, pp. 6082-6086, 2016.[Abstract]


In recent days many business organizations make huge investment in establishing their shop floors, installing most mechanized machines. These mechanized machines ought to operate in tandem with other machines, whose productivity level are usually different, which leads to individual machines working in maximum efficiency and the overall shop floor working in sub-optimal level. A spool shop assembles flanges, valves and nozzles to lengthier pipe, which are used in the construction of power plant, petroleum refinery, and cement plant. Longer cycle time at different work stations, lengthier job queue waiting for processing, high level of work-in-progress are inherent issues in a spool shop. Individual machines operating at maximum efficiency without analyzing the flow metrics in a spool shop leads to bottleneck. Current study, aims at spotting and decongesting the bottle neck at various machines, improve the output of the spool shop and optimize individual machine utilization. Four simulation models are developed using ARENA and each one of them are evaluated on the following metrics: Output from spool shop per time period, utilization of individual machines per time period, value added time per unit of pipe, average queue length at each machine, average waiting time of a pipe and work-in-progress. First model depicts the data captured in the existing spool shop. In second model, high priority is assigned to the jobs that ought to be further processed in shot blasting machine and heat treatment furnace, thus minimizing the wait time. In third model, a modification is suggested to the existing annealing process, where the job is allowed to cool outside the furnace, thus making the furnace available for the next job. Forth model uses the priority rule in the suggested modified model. In all these models, inter-arrival time of job from storage yard to spool shop is maintained constant. Evaluating each model against performance statistics and queue statistics helps rank models based on each metrics. Models with high priority for further processing make use of single piece flow, a proven lean principle technique that has enhanced the overall efficiency. This eventually motivates practicing shop floor manager to incorporate flow metrics in designing the layout and machine capacity for optimal overall utilization. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

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2016

Pa Rudresh, Ramesh, Vb, Dr. Anbuudayasankar S. P., Kikani, R. Pa, and Khandelwal, Ac, “Transportation and logistics management in a pump manufacturing industry involving subcontractors”, ARPN Journal of Engineering and Applied Sciences, vol. 11, pp. 6070-6074, 2016.[Abstract]


In most industries today productivity improvement is a major cause for concern. This paper focuses on the logistics scenario followed by the company, involving contractors and subcontractors. In the company, more than 75% of the manufacturing processes are outsourced by the manufacturer and there is no orderly or pre-planned method to efficiently manage the logistics involved in outsourcing the required components. To help improve the current state, a Vehicle Routing Problem (VRP) was solved applying the existing constraints. The solution was obtained based on the VRP concepts. ODL Studio, an open source and free software was used to solve this rich VRP formulated. The obtained results were integrated with a map showing the optimal transportation sequence and the routes to be taken, thus instructing the driver on the sequence to be followed. With a structured mathematical approach towards the transportation problem, the total distance traveled and time taken by the vehicle was reduced. With reduction in time, there is an increase in the number of products that are being worked on at the manufacturer's facility. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

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2015

K. Thomas, S. Tribhu, and Dr. Anbuudayasankar S. P., “Implementation of RFID based kanban system in a manufacturing industry”, International Journal of Applied Engineering Research (IJAER), vol. 10, no. 14, pp. 34475 - 34478, 2015.[Abstract]


Lean Manufacturing refers to the different strategies adopted by companies in order to reduce cost and increase quantity and well as quality by reducing lead times and other anomalies in a production line, which would upset the customers. Hence, as a part of productions and operations, lean manufacturing plays a vital role in the survival of any company. This paper elicits a comparison between the push and pull production system and the advantages of implementing the latter in any manufacturing industry. A kanban based pull system in a manufacturing industry has been depicted in this paper. On a practical level, it has been observed that there is a continuous loss of Kanban cards in between the finishing processes due to which the implementation of the pull system has proved to be difficult. A Radio Frequency Identification (RFID) based Kanban system has been presented in this paper which was applied to an element manufacturing plant to increase the effectiveness of the Kanban system and hence tackle the problem. Value Stream Mapping was done on the current state of the process and future state was designed with a goal to improve the process. The case study conducted includes the method of calculating the number of kanbans as a part of implementing the pull system. The ultimate goal boils down to improving the customer fulfillment with steps taken to reduce the lead time, maintain a minimum inventory buffer size in the supermarket. After an inventory check across the lines, the results show a significant drop in inventory and an improvement in the process parameters leading to customer fulfillment.

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2015

P. Rudresh, V. Ramesh, Dr. Anbuudayasankar S. P., R. P. Kikani, and A. Khandelwal, “The effect of mechanization on operator performance – An Ergonomic perspective”, International Journal of Applied Engineering Research , vol. 10, no. 11, pp. 28741 - 28748, 2015.[Abstract]


Minimizing the time taken to manufacture a product is important to any company as it is one of the deciding factors for the output and profits of the company. The aim of this paper is to study the implementation of a low cost automation system in the assembly workstation of a submersible pump manufacturing company. A study was carried out on the complete manufacturing process and a bottleneck was identified in the assembly section. It was found that the operator had to perform strenuous movements, which were time consuming to assemble the pump. A mechanization process is implemented and an analysis of the perceived stress levels before and after the implementation is discussed.

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2015

A. Raja, Thomas, K., Tribhu, S., and Dr. Anbuudayasankar S. P., “A Collaborative Application of Six Sigma and Value Engineering in Supply Chain and Logistics”, International Journal of Applied Engineering Research, vol. 10, no. 9, pp. 14803-14808, 2015.[Abstract]


This paper deals with the application of six sigma methodology in supply chain (SC) and logistics. A detailed cram about how the SC can be improved and its impact on the organization are dealt with and also how the quality plays a vital role in improving SC and logistics are identified. A simulation has been performed using the ARENA software to determine the process efficiency of a bottle manufacturing unit. Further, a Value Stream Mapping (VSM) analysis has been executed on the manufacturing process flow model and the manner by which Value Engineering (VE) holds a significant importance for quality assertion on the products is also studied.

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2015

S. Umamaheswaran, K. Ganesh, N. Kumar, S., Sethupathi, P. V. Rajendra, and Dr. Anbuudayasankar S. P., “Variants, meta-heuristic solution approaches and applications for image retrieval in business - comprehensive review and framework”, International Journal of Business Information Systems, vol. 18, no. 2, p. 160, 2015.[Abstract]


The aim of this paper is to review the current state of the art in image retrieval using meta-heuristics. Besides, this paper provides a wide survey on the technical achievements in the research area of image retrieval for business applications especially using meta-heuristics. This survey includes top 33 papers covering the research aspects of image features representation, extraction and system design. Further, based on the demand from real world applications, open research issues are identified and future research directions are suggested.

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2014

M. Safeer, Dr. Anbuudayasankar S. P., Kartik Balkumar, and K. Ganesh, “Analyzing Transportation and Distribution in Emergency Humanitarian Logistics”, "12th Global Congress on Manufacturing and Management" GCMM - 2014, vol. 97, pp. 2248 - 2258, 2014.[Abstract]


Most of the disasters occur unexpectedly with respect to time, place and intensity. Due to these reasons, humanitarian logistics has attracted considerable research attention in the recent past. This paper reviews modeling parameters for objective functions and constraints in humanitarian logistics distribution. The objective functions that are realized in various humanitarian emergency operations aim to increase the supply of relief aid. In this paper, a classification based review methodology is employed to identify various cost functions and constraints for primary emergency operations in logistics viz. casualty transportation and relief distribution problems. Based on the classification, areas of future research are discussed that would be useful for key decision makers in planning logistics activities in emergency situations. The paper also serves to delineate the recent trends, challenges and research gaps in the area of Humanitarian Logistics.

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2014

M. - C. Pan, Tzong-Ru Lee, Dr. Anbuudayasankar S. P., and K. Ganesh, “Key success factors of holding exhibitions for the exhibition organisers using dramaturgy model and grey relational analysis”, vol. 5, p. 269, 2014.[Abstract]


The prosperous meeting, incentive, convention, exhibition (MICE) industry has been regarded as the most potential gold mine industry in the 21st century. The development of MICE could very well boost the economy of the respective nations, and open new dimensions in business opportunities (Wu and Lee, 2009). Hence, governments have begun to actively support the exhibitions that promote the infrastructure, and MICE has been utilised in the construction of infrastructure in several cities (Deng et al., 2008; Chen and Huang, 2011). Consequently, exhibitions are widely considered to be crucial tools for marketing. This study hopes to identify the service needs of exhibitors, and visitors, in exhibitions, and find out the difference between the degree of attention to detail for services provided at the exhibition, and the degree of satisfaction. The main structure of this study is based on the 'dramaturgy model', which involves the classic ingredients to any theatre act - actors, setting, audience and performance. In addition, this research developed two questionnaires: 'exhibitor questionnaires' and 'visitor questionnaires'. 121 exhibitor questionnaires and 117 visitor questionnaires are collected. Tools such as dramaturgy model, key factors analysis, grey relation analysis and important-performance analysis are used for the analysis and key results are identified.

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2014

K. Ganesh, T. T. Narendran, and Dr. Anbuudayasankar S. P., “Evolving cost-effective routing of vehicles for blood bank logistics”, International Journal of Logistics Systems and Management, vol. 17, pp. 381-415, 2014.[Abstract]


The problem of distributing and collecting blood for a public healthcare system is addressed in this paper. The problem is modelled as a vehicle routing problem with delivery and collection. It is an NP-hard problem that is not amenable to easy solution procedures. A heuristic proposed to find good initial solutions as inputs to an intensive search with meta-heuristics. Cluster of nodes to be visited is formed first. The nodes in a cluster is aligned to a route and then assigned a vehicle to each cluster. Using this solution as input, an intensive search, combining genetic algorithms (GA) and simulated annealing (SA) is carried out. At a significantly enhanced speed of search, encouraging results for test problems are obtained.

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2014

Tzong-Ru Lee, K. Ganesh, Agnieszka M. Dadura, and Dr. Anbuudayasankar S. P., “Using graphical arts in management and marketing teaching for business innovation - case of Along the River during the Ching-Ming Festival painting”, International Journal of Business Innovation and Research, vol. 8, pp. 154-167, 2014.[Abstract]


Using arts in the management and marketing education of business managers is rather a newly researched area. This paper presents a case study of using an ancient Chinese painting, Along the River during Ching-Ming Festival, to teach the management and marketing concepts to Taiwanese commercial district managers and also help them to come up with practical but creative strategies for their own businesses as well as to flash back the ancient but long lasting moral in doing business regardless the differentness in era. The participants own evaluation of the workshop, method and other possible applications of arts in management and marketing education are discussed. Furthermore, this paper can be a reference for planning innovative use of graphical arts in management and marketing teaching. More »»

2014

Kartik Balkumar, Resmi Ann Thomas, Dr. Anbuudayasankar S. P., K. Ganesh, S. Paul Silvian, and Gemini V. Joy, “Effective healthcare management in India - The role of knowledge management”, International Journal of Value Chain Management, vol. 7, no. 2, pp. 97-123, 2014.[Abstract]


Over the last decade, knowledge has been increasingly viewed as an invaluable organisational resource. With the advent of globalisation there has been an explosion of information and the success of an organisation is more or less dependent on the extent to which it is able to utilise this massive amount of information. Organisations are facing a crisis dealing with this vast ocean of information management and utilisation. This is where knowledge management (KM) has emerged as the key to solve this predicament. In this paper we present the potential and benefits of KM in healthcare. This paper is substantiated by a detailed review of the concepts of KM in general and relevant to healthcare, and addresses the potential benefits of its implementation. The paper is based on the collections of systematically reviewed literature and is a theoretical approach to understanding the role of KM in healthcare in the Indian context. There are less number of studies in India, about KM for PHC's or secondary/ tertiary healthcare domains in India. This descriptive attempt can help future researchers to gain in-depth insights and practical implications along with advantages of a proper KM in the Indian healthcare community. Copyright © 2014 Inderscience Enterprises Ltd.

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2014

S. C. Lenny Koh, K. Ganesh, Vishesh Pratik, and Dr. Anbuudayasankar S. P., “Impact of ERP implementation on supply chain performance”, International Journal of Productivity and Quality Management, vol. 14, pp. 196-227, 2014.[Abstract]


This study focuses on the impact of enterprise resource planning (ERP) implementation on supply chain performance. The focus of ERP is optimisation of resources within the business, whereas the focus of supply chain management is optimisation of resources within the supply chain. ERP integrates all the business processes in order to improve efficiency of the organisation. This study is an effort to analyse how ERP implementation impacts the performance of the supply chain. The research study is based on case study method. The method uses semi structured interviews with selected professionals from different sector. The research question was to find out the impact of ERP on the performance of the supply chain. The literature review and semi structure interviews clearly support the fact that supply chain performance is enhanced and improved with the implementation of ERP. Copyright © 2014 Inderscience Enterprises Ltd.

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2013

R. A. Malairajan, Dr. Anbuudayasankar S. P., M. Punniyamoorthy, and K. Ganesh, “Decision Support System for Real Time Vehicle Routing in Indian Dairy Industry - A Case Study”, International Journal of Information System and Supply Chain Management, vol. 6, no. 4, pp. 77-101, 2013.[Abstract]


In today’s highly competitive and demanding environment, the pressure on both public and private organizations is to achieve a better way to deliver values to end customers. There has been a growing recognition that the two goals, cost reduction and customer service are achieved through Logistics and Supply Chain Management (SCM). Transportation of goods continues an important part of in-bound as well as outbound logistics of Supply Chain Management (SCM). Efficient distribution of goods and services is of great importance in today’s competitive market, because transportation constitutes a considerable portion of the purchase price of most products or services. Vehicle routing is considered as an important resource in a distribution logistics management system. Effective plan and control of vehicle operation can significantly reduce the cost of physical distribution system. To overcome the challenges of changing environment, the scheme of vehicle control of a physical distribution system should be dynamic. Thus India has become the top milk producing country in the world. This study addresses the vehicle routing aspect of distribution logistics in Sangam dairy supply chain of Guntur district in Andhra Pradesh. The problem is viewed as Vehicle Routing Problem with Backhauls (VRPB) and a mathematical model is developed with the consideration of various practical constraints. Moreover, a decision support system is developed for dynamic VRPB, which would help the manager in making operational and tactical decisions.

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2013

R. A. Malairajan, K. Ganesh, M. Muhos, and Dr. Anbuudayasankar S. P., “Class of resource allocation problems in supply chain - A review”, International Journal of Business Innovation and Research, vol. 7, pp. 113-139, 2013.[Abstract]


Resource allocation (RA) involves the distribution and utilisation of available resources in the system. Because resource availability is usually scarce and expensive, it becomes important to find optimal solutions to such problems. Thus, RA problems represent an important class of problems faced by mathematical programmers. Conventionally, such RA problems have been modelled and solved for allocation in single echelon supply chain (SC), single objective allocation, allocation with certainty of static input data, single performance measure driven allocation, disintegrated allocation and routing both in strategic and operational level. This research focuses on detailed review of six new and complex sub-classes of RA problems in SC network focusing bi-objectives, dynamic input data, and multiple performance measures based allocation and integrated allocation and routing with complex constraints. This study considers six set of variants of the RA problems normally encountered in practice but has not been given attention to hitherto. These variants of the classical RA are complex and pertaining to both manufacturing and service industry. These variants have some applications that are of special interest, including those that arise in the areas of warehousing, transportation, logistics, and distribution. These application domains have important economic value, and high importance is attached to achieve efficient solutions. Copyright © 2013 Inderscience Enterprises Ltd.

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2012

R. A. Malairajan, Tzong-Ru Lee, Dr. Anbuudayasankar S. P., M. N. Qureshi, and Ganesh K., “Study of Multi-Commodity Network Flow Problem for the Patient Distribution System”, International Journal of Logistics Systems and Management, vol. 12, pp. 70-88, 2012.[Abstract]


The Patient Distribution System (PDS) is one of the urgent problems, similar to the Multi-Commodity Network Flow (MCNF) problem, which need rational attention. Medical tourism has become a buzz word for low cost treatment; a number of patients travel to different countries for getting treatment for various diseases. Mathematically, the model is formulated as an integer multiple commodity flow problem. Studies show that the proposed scheme allocates patients and yields better revenue generation for hospitals. Hospitals may potentially boost revenue by advancing to more intelligent resource allocation schemes, as compared to the traditional ones.

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2012

S. Santhanakrishnan, Dr. Anbuudayasankar S. P., K. Ganesh, and Narendran T. T., “Comparison of Meta-heuristics for Container Ship Routing Problem”, International Journal of Services and Operations Management, vol. 12, no. 3, pp. 348-367, 2012.[Abstract]


Container ship routing problem is a special variant of vehicle routing problem (VRP) which needs a lot of attention which costs enormous amount of money per day. In this paper, two popular meta-heuristics namely genetic algorithm (GA) and simulated annealing (SA) for solving the ship routing problem have been compared. A series of experiments were conducted varying the number of ports involved and the route taken to visit these ports. These numerical experiments revealed that SA yielded more profits compared to GA as number of ports increased.

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2012

P. Sivakumar, K. Ganesh, Yves Ducq, and Dr. Anbuudayasankar S. P., “Class of sustainable supply chain routing problems – framework and comprehensive review”, International Journal of Services and Operations Management, vol. 12, no. 2, pp. 188-220, 2012.[Abstract]


Vehicle routing problem (VRP) is widely dealt within the last four decades. We seek to understand the state of the art in VRP in the context of sustainable supply chain and proposed new six VRP variants encountered in sustainable supply chain routing (SSCR) context but have not been given attention to hitherto. These variants of the classical VRP are complex and pertaining to six domains of SSCR. Constraints relevant to sustainable aspect/implications are considered in all the variants. This paper is devoted to the development of framework and comprehensive review on these six variants of SSCR problems.

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2012

Dr. Anbuudayasankar S. P., K. Ganesh, S. C. Lenny Koh, and Yves Ducq, “Modified savings heuristics and genetic algorithm for bi-objective vehicle routing problem with forced backhauls”, Expert Systems with Applications, vol. 39, pp. 2296-2305, 2012.[Abstract]


The cost of distribution and logistics accounts for a sizable part of the total operating cost of a company. However, the cost associated with operating vehicles and crews for delivery purposes form an important component of total distribution costs. Small percentage saving in these expenses could result in a large amount of savings over a number of years. Increase in the number of automated teller machines (ATMs) in the bank industry enforced the researchers to concentrate much on the optimization of distribution logistics problem. The process of replenishing money in the ATMs is considered as a scope with bi-objectives such as minimizing total routing cost and minimizing the span of travel tour. Some of the pick-up routes of the problem are forced and it is termed as forced backhauls. This problem is termed as bi-objective vehicle routing problems with forced backhauls (BVFB). We developed three heuristics to solve BVFB. Two heuristics are modified savings heuristics and the third heuristic is based on adapted genetic algorithm (GA). Standard data sets of VRPB of real life cases for BVFB and randomly generated datasets for BVFB are solved using all the three heuristics. The results are compared and found that all the three heuristics are competitive in solving BVFB. GA yields better solution compared to the other two heuristics. © 2011 Elsevier Ltd. All rights reserved.

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2012

S. Nagarajan, Ganesh, K., A. T. Resmi, Dr. Anbuudayasankar S. P., and Hemachitra, R., “Organisation structure, reward and communication design for implementation of knowledge management solution”, vol. 10, pp. 40 - 68, 2012.[Abstract]


Knowledge management (KM) can be effectively implemented by proper knowledge organisation structure and carry forward by incentive plan, lucrative reward programming and robust communication plan. Research reported here focuses on the development of a framework and approach for organisation structure, reward and communication design towards the initiative of KM solution before the implementation. The framework and approach can be directly used as a base for any manufacturing organisation for designing organisation structure, reward and communication plan. The framework has been demonstrated through a real-life case study in an Indian textile machinery manufacturing company.

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2012

K. Ganesh, R. A. Malairajan, M. N. Qureshi, Dr. Anbuudayasankar S. P., and M. K. Barua, “Study and suggestions on inbound logistics for vehicle utilisation: A case study”, International Journal of Innovation and Sustainable Development, vol. 6, pp. 237-264, 2012.[Abstract]


A service provider for a global textile machinery manufacturing organisation has been managing the inbound logistics operations for the subcontracted items. The payment terms is fixed with service provider such that a fixed amount is paid to it based on the vehicles utilised per day. Such kind of an agreement calls for better utilisation of vehicles in terms of running time. This paper presents some of the observations and areas of improvement for better utilisation of vehicles so that the transportation overheads for the subcontracted items are reduced. Copyright © 2012 Inderscience Enterprises Ltd.

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2012

S. Nagarajan, K. Ganesh, Mukesh Kumar Barua, A. T. Resmi, and Dr. Anbuudayasankar S. P., “Design of vendor managed inventory system for automotive company - A case study”, International Journal of Management and Enterprise Development, vol. 12, pp. 106-131, 2012.[Abstract]


The practice of supply chain management has shifted the responsibility for inventory control to the vendors, leading to the concept of vendor managed inventory (VMI). In order to meet customer demands, vendors must ensure appropriate quantities of storages at the point of demand and must ensure optimal distribution plans that include routing of the distribution vehicles. This paper discusses a detailed literature review of VMI. Existing VMI model for an automotive company is studied in detail and the critical flaws in the present system are identified. This paper proposes information sharing methods, empirical model for supplier segmentation and proposed VMI system with necessary implementation steps for the case company. Copyright © 2012 Inderscience Enterprises Ltd.

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2012

S. Nagarajan, K. Ganesh, A. T. Resmi, Dr. Anbuudayasankar S. P., and Hemachitra, R., “Design for taxonomy and technology architecture for knowledge management solution implementation”, International Journal of Business Information Systems, vol. 11, no. 2, pp. 180-214, 2012.[Abstract]


Taxonomy is a standardised set of terms, hierarchically organised, used to categorise information and knowledge. Research reported here focuses on the development of a framework and approach for taxonomy and technology architecture towards the initiative of KM solution before the implementation. The framework and approach can be directly used as a base for any manufacturing organisation for taxonomy and technology architecture. The taxonomy and technology architecture has been demonstrated through a real-life case study in an Indian textile machinery manufacturing company. Copyright © 2012 Inderscience Enterprises Ltd.

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2012

S. Nagarajan, K. Ganesh, Resmi, A. T., Dr. Anbuudayasankar S. P., and Hemachitra, R., “Development of temporal confirmation model for knowledge management solution implementation”, International Journal of Business Information Systems, vol. 11, pp. 253-282, 2012.[Abstract]


Implementing a knowledge management (KM) system can be complex and dynamic, no matter how well planned and developed. Inevitably a degree of organisational inertia is focused on the current rather than the new. Cumulative evidence from past research in KM suggests that effective implementation of KM solution in any organisation requires robust designs and models for various critical elements of process, people and technology. Based on the results of the Delphi study, a temporal confirmation conceptual model is developed with six modules/elements to take it the next level of devising the generic framework, design, model and strategy for the identified modules. © 2012 Inderscience Enterprises Ltd.

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2011

Dr. Anbuudayasankar S. P., R. A. Malairajan, Ganesh K., and S. C. Koh, “Inventory and Purchase Policy for Textile Machinery Manufacturing Organisation - A Consulting Case”, International Journal of Decision Making in Supply Chain and Logistics, vol. 2, no. 1, pp. 25-33, 2011.

2010

Dr. Anbuudayasankar S. P., K. Ganesh, S. C. Lenny Koh, and Mohandas K., “Unified heuristics to solve routing problem of reverse logistics in sustainable supply chain”, International Journal of Systems Science, vol. 41, pp. 337-351, 2010.[Abstract]


A reverse logistics problem, motivated by many real-life applications, is examined where bottles/cans in which products are delivered from a processing depot to customers in one period are available for return to the depot in the following period. The picked-up bottles/cans need to be adjusted in the place of delivery load. This problem is termed as simultaneous delivery and pick-up problem with constrained capacity (SDPC). We develop three unified heuristics based on extended branch and bound heuristic, genetic algorithm and simulated annealing to solve SDPC. These heuristics are also designed to solve standard travelling salesman problem (TSP) and TSP with simultaneous delivery and pick-up (TSDP). We tested the heuristics on standard, derived and randomly generated datasets of TSP, TSDP and SDPC and obtained satisfying results with high convergence in reasonable time. © 2010 Taylor & Francis.

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2010

P. Iskanius, Tom Page, and Dr. Anbuudayasankar S. P., “The traditional industry sector in the changing business environment - A case study of the Finnish steel product industry”, International Journal of Electronic Customer Relationship Management, vol. 4, pp. 395-414, 2010.[Abstract]


The emerging business paradigm agility, namely, the ability to rapidly respond to changes in market and customer demand, addresses new ways of running companies to meet the challenges of today's changing business environment. The need for agility has traditionally been associated with supply chains operating in high technology industries. However, more traditional industries such as in steel product manufacturing also face similar challenges in terms of speed, flexibility, increased product diversity and customisation. The main objective of this study is to identify those drivers that lead companies towards agility in the metal industry. The study analyses the driving forces and the ability for agility in two case networks. Both networks have their origin in the steel product manufacturing, but the changes in the business environment have led them to develop their ability for agility in different ways. Today, these networks represent two relatively different parts of the steel manufacturing industry. This paper concludes that the need for agility is clearly recognised in both case networks and has to seriously be taken into account in long-run strategy plans of companies. Copyright © 2010 Inderscience Enterprises Ltd.

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2010

Mukesh Kumar Barua, Jyoti Sagar Rao, Dr. Anbuudayasankar S. P., and Tom Page, “Measurement of surface roughness through RSM: Effect of coated carbide tool on 6061-t4 aluminium”, International Journal of Enterprise Network Management, vol. 4, no. 2, pp. 136-153, 2010.[Abstract]


The demand for high quality and fully automated production focuses attention on the surface condition of the product, especially the roughness of the machined surface, because of its effect on product appearance, function, and reliability. The objective of this paper is to develop a better understanding of the effects of cutting parameters such as speed, depth of cut and cutting feed rate on the surface roughness and to build a response surface regression model. An attempt has been made to obtain optimum cutting conditions with respect to centre line average roughness considered in the present study with the help of response optimisation technique. The design of experiment (DOE) has been used to carry out the modelling and analysis of the influence of process variables on the response. Finally, the effect of speed, feed rate and depth of cut on surface roughness of aluminium samples was studied for coated carbide tool. The model generated is found 90% confident for milling aluminium using coated carbide tool. Copyright © 2010 Inderscience Enterprises Ltd.

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2009

Dr. Anbuudayasankar S. P., K. Ganesh, and K. Mohandas, “Metaheuristic Approach for Simultaneous Delivery and Pick-Up Problem of Banking Industry”, The ICFAI University Journal of Operations Management, vol. VII, no. 1, pp. 6-34, 2009.

2009

Dr. Anbuudayasankar S. P., Kushal Ganesh, Tzong-Ru Lee, and Mohandas K., “COG: A composite genetic algorithm with local search methods to solve a mixed vehicle routing problem with backhauls”, International Journal of Services and Operations Management, vol. 5, no. 5, pp. 617 - 636, 2009.[Abstract]


This paper considers a variant of the Vehicle Routing Problem (VRP) called Mixed Vehicle Routing Problem with Backhauls (MVRPB), an extension of the Vehicle Routing Problem with Backhauls (VRPB). This problem involves two sets of customers, called line-haul and backhaul customers. The demand of each line-haul customer is served by a single depot with a set of homogeneous capacitated vehicles. Apart from this, some amount of load needs to be picked up from the backhaul customers and should be taken back to the depot. The visit sequence of vehicles for line-haul and backhaul customers is mixed. The application of the MVRPB for the public healthcare system is explained. The MVRPB is a well-known, proven Non-deterministic Polynomial (NP)-hard problem. Various heuristic algorithms are proposed to solve the MVRPB to obtain approximate solutions. In this paper, we propose a composite Genetic Algorithm (GA) combined with different local search methods to solve the MVRPB. This is the first research paper for the application of metaheuristics with local search methods to solve the MVRPB. Extensive computational investigation for the MVRPB instances shows the efficacy of the proposed algorithm.

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2009

Dr. Anbuudayasankar S. P., Ganesh, K., S. C. Lenny Koh, and Mohandas K., “Clustering-based heuristic for the workload balancing problem in enterprise logistics”, International Journal of Value Chain Management, vol. 3, no. 3, pp. 302 - 315, 2009.[Abstract]


Workload balancing between drivers in transshipment of goods is a critical humanitarian issue in enterprise logistics management. This problem is modelled as a multiple Travelling Salesman Problem with Workload Balancing (mTWB). The problem is addressed under the condition that the load for all the drivers must be balanced on a trip. We propose a clustering-based heuristic to solve the mTWB with the objective of balancing the workload amongst drivers. The methodology is tested over a range of benchmark data sets and is found to give satisfactory results with high convergence in reasonable time.

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2008

Dr. Anbuudayasankar S. P., K. Ganesh, and K. Mohandas, “CORE: a heuristic to solve a vehicle routing problem with mixed delivery and pick-up”, The ICFAI University Journal of Supply Chain Management, vol. V, pp. 7-18, 2008.

2008

Dr. Anbuudayasankar S. P. and Mohandas K., “Mixed-Integer Linear Programming for Vehicle Routing Problem with Simultaneous Delivery and Pick-Up with Maximum Route-Length”, 2008.[Abstract]


The vehicle routing problem with simultaneous delivery and pick-up (VRPSDP) is the problem of optimally assimilating goods collection and distribution, when no priority constraints are imposed on the order in which the vehicle must perform the operations. This paper considers an additional constraint of maximum route length in VRPSDP. We develop a mixed-integer linear programming model for VRPSDP with an additional constraint of maximum route length. The results are encouraging for a sample benchmark data set.

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Publication Type: Book

Year of Publication Title

2014

K. Ganesh, Mohapatra, S., Dr. Anbuudayasankar S. P., and Sivakumar, P., Enterprise Resource Planning: Fundamentals of Design and Implementation (Management for Professionals). Springer, 2014.[Abstract]


This book introduces the fundamental principles of understanding business requirements to apply enterprise resource planning (ERP) in order to meet business needs. The book also helps readers understand the usage of ERP for monitoring and controlling business processes, while providing practical oriented solutions to the design and implementation of ERP. Using the provided framework, a business can decide to provide more value at lower cost which increases its competitive advantage. This should be an ideal reference for executives, researchers and consultants in project management of ERP.

ERP can be considered to be an integrated package of business process. The scope of ERP determines the extent of automation of business process. For example if ERP covers Human Resource (HR) and finance business processes only, then business process related HR and finance are automated. Typically business process that are automated in HR and finance employee entry and exist process, allocation of employee ID, payroll, processing , income tax planning and actual deduction etc. There is seamless flow of employee data and information is available at an effectively faster rate to take appropriate decision.

As custom demand increases, there is a need to meet the changing scenario with speed and efficiency. While there is a need to increase productivity, there is also a need to reduce cost of operation. The repetitive business processes can be handled effectively by automating them and freeing human resources for meeting other uncertainties. These automations not only should be done for each department, but also should cut across different departments. Thus there is a need for automating business processes at enterprise level. This enterprise level automation started with MRP, then MRP II, ERP and then finally open source ERP have taken centre stage. Out of the standard products available in the market, an organization can chose an ERP product for implementation, depending on the features available and the total cost of ownership (TCO). This comparison helps an organization to choose the product that best suits the needs for the organization. Enterprise Resource Planning: Fundamentals of Design and Implementation highlights these concepts while discusses different good practices to design and implement ERP.

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2014

Dr. Anbuudayasankar S. P., Mohapatra, S., and Ganesh, K., Models for Practical Routing Problems in Logistics, (Design and practices). Springer Publishers, 2014, p. 165.[Abstract]


This book deals with complex variants of Travelling Salesman Problem (TSP) and Vehicle Routing Problem (VRP) within the manufacturing and service industries. The objective is to develop heuristics for these supply chain problems in order to offer practical solutions to improve operational efficiency. These heuristics are evaluated using benchmark and derived data-sets. Case studies pertaining to logistics in different industries including textile machinery manufacturing and banking are also included to demonstrate the created heuristics. High competition in today’s global market has forced the organizations to invest in and focus on their logistics system. The critical function of logistics is the transportation within and across various supply chain entities. Both supply and distribution procedure require effective transportation management. A small improvement in routing problems can lead to huge logistics savings in absolute terms. This book should appeal to executives, researchers and consultants seeking supply chain management solutions. More »»

2012

K. Ganesh and Dr. Anbuudayasankar S. P., International and Interdisciplinary Studies in Green Computing. IGI Global, 2012, p. 238.[Abstract]


With the growing awareness and popularity of environmental preservation, research on green computing has gained recognition around the world. Information technology must adopt initiatives in making computers as energy-efficient as possible, as well as design algorithms and systems for efficiency-related computer technologies.

International and Interdisciplinary Studies in Green Computing provides coverage on strategic green issues and practices for competitive advantages and cost-cutting in modern organizations and business sectors in order to reach environmental goals.

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Publication Type: Conference Paper

Year of Publication Title

2011

K. Ganesh, Dr. Anbuudayasankar S. P., and Sivakumar, P., “Inventory Policy for a Global Coating Manufacturing Organization - A Case Study”, in National Conference on Emerging Trends in Industrial Engineering and Management (ETRIM 2011), National Institute of Technology, Calicut, 2011.

2010

Dr. Anbuudayasankar S. P., Sivakumar, P., K. Ganesh, S. C. Lenny Koh, and K. Mohandas, “Clustering using Shrink-Wrap Algorithm for Travelling Salesman Problem with Workload Balancing”, in 43rd Annual Convention of Operational Research Society of India (ORSI 2010), "Operational Research for Urban and Rural Development(ORURD), Thiagarajar College of Engineering & ORSI-Madurai Chapter, Madurai, 2010.

2003

Dr. Anbuudayasankar S. P., “Some ways of Designing Quality Control Functions”, in National Conference on Quality Engineering and Management – NCQE, Kumaraguru College of Technology, Coimbatore, 2003.

2003

Dr. Anbuudayasankar S. P. and A. Haq, N., “Application of MRP to a Garment Manufacturing Industry”, in National Conference on World Class Manufacturing- WCM 2003, Amrita Institute of Technology, Coimbatore, 2003.

2001

Dr. Anbuudayasankar S. P. and A. Haq, N., “Materials Requirement Planning - a case study”, in Recent Trends in Production/ Operations Management, Annamalai University, 2001.

Publication Type: Book Chapter

Year of Publication Title

2010

Dr. Anbuudayasankar S. P., K. Ganesh, and K. Mohandas, “Meta-heuristic Approach to Solve Mixed Vehicle Routing Problem with Backhauls in Enterprise Information System of a Service Industry”, in Edited Book “Enterprise Information Systems and Implementing IT Infrastructures: Challenges and Issues", IGI Global Publishing, USA, 2010, pp. 210-225.[Abstract]


Commercial banks are trying to change customer preference from doing banking transactions through branch channels to electronic channels. Consequently, an increasing number of Automated Teller Machines (ATMs) are being setup. This paper deals with Vehicle Routing Problem (VRP) arising from an ATM routing with Simultaneous Delivery and Pick-up (SDP), a real-world routing-scheduling problem. The major goal of this research is to develop an efficient heuristic that solves the ATM routing problem, VRPSDP and produces the optimal solution with the objective of minimizing the distance travelled in a reasonable computation time. Simulated Annealing is developed as the solution methodology and compared with benchmark data-sets. The results are encouraging in terms of solution quality and computation time.

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Publication Type: White Paper

Year of Publication Title
2010 Dr. Anbuudayasankar S. P., K. Ganesh, S. C. Lenny Koh, P. Sivakumar, “Humanitarian View Focus on Green Supply Chain”, University of Sheffield, London, 2010.

Talks and Guest Lectures 

  • Delivered an invited talk on “How to Publish Papers in Scopus Indexed Journals, Annexure I & II, Web of Science and ABDC Journals” in the Faculty Development Programme on December 8, 2017, at KCT Business School, Kumaraguru College of Technology, Coimbatore – 49.
  • Keynote address on “Supply Chain and Logistics” delivered for a technical session at the 1st National Conference on Recent Advancements in Design and Manufacturing Systems - “RADAMS’13” at Karpagam University, Karpagam Academy of Higher Education, Eachanari, Coimbatore on March 21, 2013.
  • Delivered an invited technical on “Practical Routing Models in Logistics” at the National Institute of Technology, Tiruchirappalli, in the Short Term Course on Design and Optimization of Production Management Systems, from June 4, 2013.
  • Guest Lecture at KLN College of Engineering, Madurai on February 11, 2012, at the Workshop on “Manufacturing and Supply Chain Solutions”.
  • Guest Lecture on “Literature Review and Plagiarism” at Noorul Islam Centre for Higher Education (Noorul Islam University) on a Two-Day Workshop on “Gateway To Research” from September 23-24, 2011.
  • Guest Lecture on “Optimization Techniques” at P.A. College of Engineering, Pollachi, in September 2011.
  • Guest Lecture on “Operations Research” at Nirmala Women College on December 2, 2010.
  • Guest Lecture on “Social Works of Amrita ” at EASA College of Engineering on November 2, 2009, during the inauguration of National Service Scheme at EASA College of Engineering, Coimbatore.

Chairman of Technical Sessions in Symposium and Conferences

  • Acted as a Chairperson of a session in the Technical Symposium at SNS College of Technology, Coimbatore on March 2, 2012.
  • Acted as a Chairperson of a session in the National level Conference on "Advances in Design and Manufacturing of Mechanical Systems [ADAMMS-2012]" on April 5, 2012, at Sri Krishna Engineering College, Coimbatore.
  • Acted as a Chairperson of a technical session at the International Conference on Modelling, Optimisation and Computing (ICMOC 2012) at Noorul Islam University, Nagerkoil, from April 10-11, 2012.
  • Acted as Chairperson of two technical sessions at the International Conference on Interdisciplinary Engineering and Sustainable Management Sciences, from February 22-23, 2013, held at Vickram College of Engineering, Madurai.
  • Acted as Chairperson of technical sessions at the National Conference on Computing, Communication and Manufacturing (NCCCM'2013) at Er. Perumal Manimekalai College of Engineering, Hosur on March 1, 2013.
  • Acted as Chairperson for a technical session at the 1st National Conference on Recent Advancements in Design and Manufacturing Systems - “RADAMS’13” at Karpagam University, Karpagam Academy of Higher Education, Eachanari, Coimbatore on March 21, 2013.
  • National Advisory Committee member of IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2013), from December 26-28, 2013, held at Vickram College of Engineering, Madurai.
  • Invited to act as session chair in a Technical session on December 9, 2014, at the Global Congress on Manufacturing Management (GCMM-2014), VIT University, Vellore, Tamilnadu, from December 8-10, 2014 (Procedia Engineering, Elsevier).

Training Programs Conducted 

  • Training Programmes Conducted for the Rural Population and the Employees in Various Industries Like Everest Limited, Southern Railways, etc., under the direction of Central Board for Workers Education (Ministry of Labour and Employment, Government of India).
  • Technical Supervisor for the IIT Bombay Seminar through e-learning initiative at AMRITA on “Solar Photovoltaics: Fundamentals, Technologies and Applications” from December 12-22, 2011.
  • Technical Supervisor for the IIT Bombay Seminar through e-learning initiative at AMRITA on “How to Write a Good Paper” on February 18-19, 2012.

Short-term Courses and Workshops Attended

  • Participated in the Faculty Development Programme conducted from August 28  to September 18, 2001, at Tamilnadu College of Engineering, Coimbatore, Tamilnadu.
  • Workshop on “ EDM Awareness Programme” from April 24-26, 2002, at Bannari Amman Institute of Technology, Sathyamangalam.
  • AICTE – ISTE Short Term Course on “Recent Trends in Modeling and Simulation of Manufacturing Systems” at Regional Engineering College, Tiruchirappalli from December 14-27, 2002.
  • AICTE – ISTE Short Term Training Programme on “Total Productivity Improvement in Process Industries through Automation” at Bannari Amman Institute of Technology, Sathyamangalam from March 31 to April 5, 2003.
  • AICTE – ISTE Short Term Training Programme on “Sustainable Development through Green Manufacturing” from March 28 to April 10, 2004, at Amrita Vishwa Vidyapeetham, Coimbatore.
  • National Workshop on “High-Performance Computing” from December 22-27, 2004 at Amrita Vishwa Vidyapeetham, Coimbatore.
  • AICTE – ISTE Short Term Training Programme on “Cleaner Technologies for Sustainable Development” from March 28 to April 8, 2005 at Amrita Vishwa Vidyapeetham, Coimbatore.
  • International Workshop on “Supply Chain Management” from August 19-20, 2005, at Coimbatore Institute of Technology, Coimbatore, Jointly with University of Massachusets, USA.
  • Attended ISTE Workshop for teachers on “Aakash for Education” conducted by Indian Institute of Technology Bombay, from November 10-11, 2012, at Amrita School of Engineering, Coimbatore.
  • Attended TEQIP III Sponsored 2 Day Workshop On Outcome Based Education For Nba Accreditation – Practices And Procedures from May 10-11, 2018, at Government College of Technology, Coimbatore- 641 013, Tamil Nadu.

Board of Studies Member

  • Attended Board of Studies meeting as a member of BOS of PG Programs of Department of Mechanical Engineering Kumaraguru College of Technology, Coimbatore on March 17, 2018, for the academic year 2018-2019.
  • Attended Board of Studies meeting as a member of BOS of UG Programs of Department of Automobile Engineering, Kumaraguru College of Technology, Coimbatore on October 6, 2018, for the academic year 2018-2019.
  • Board of Studies Member of UG Programs of Department of Mechanical Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore for the academic year 2019-2020.

QIPs Attended

  • MISSION 10X workshop on “High Impact Teaching Skills” by WIPRO from December 20-24, 2010, at Amrita Vishwa Vidyapeetham, Coimbatore.
  • MISSION 10X Advanced workshop on “Advanced Teaching Skills” by WIPRO from March 10-11, 2011, at Amrita Vishwa Vidyapeetham, Coimbatore.
  • Short Term Course (QIP) on “Instructional Design and Delivery” from September 22 -27, 2003, conducted by Technical Teachers Training Institute, Chennai.

Contributions

Department

Apart from the regular activities like teaching the subjects (Theory and Practical)

  • Faculty in-charge of the Association of the Mechanical Engineers
  • Project Coordinator for the M.Tech – Integrated Design and Manufacturing
  • Class Advisor for the current Mechanical Engineering Students
  • Anti-Ragging Committee Member in the department
  • Motivating the students to publish papers in the Conferences and Journals – As a result of that, two papers have been presented by the students (Third Year) in the International Conferences and one paper submitted for the International Journal and accepted for review
  • One student is doing Amrita funded research project under my supervision

University 

  • University Coordinator for National Service Scheme (NSS) from 2007 to 2010 and coordinated many camps in and around the villages near Our University.
  • University Programme Officer of National Service Scheme (NSS) from 2006 to 2009 and organized social activities along with special camps in and around the villages near Our University and in the city.
  • University Representative for AEEE and MCA Entrance from the inception of the Entrance Examinations.
  • Coordinated the sports and adventure events at Gokulasthami celebrations and Sports Day
  • Member of the Convocation and First-year orientation coordination (food) of our University.
  • Coordinated press activities for the SAE National Level Technical Symposium in 2009.
  • Coordinated the first year mechanical engineering students’ visit to Amritapuri in 2010 to orient them to our system.
  • Apart from taking regular theory and practical classes for B. Tech., M. Tech., M.B.A. and M.C.A. degrees, Implemented Innovative teaching methods using role-play and analogy techniques based on WIPRO Mission 10X learning.

Math Activities

  • Organised Relief activities along with 45 students for Tsunami victims in Nagappattinam for 7 days during March 2005.
  • Coordinated Press people during Chancellor Amma’s visit to Coimbatore in 2009 and 2010.
  • Actively participated in Chancellor Amma’s Birthday Celebrations at Amritapuri.
  • Actively participated in Chancellor Amma’s Amala Bharatam Campaign (ABC) at Ukkadam and Gandhipuram, Coimbatore.
Faculty Research Interest: