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).

Publications

Publication Type: Conference Proceedings

Year of Publication Publication Type Title

2018

Conference Proceedings

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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2016

Conference Proceedings

Prashant R. Nair and Dr. Anbuudayasankar S. P., “An Investigation on the benefits of ICT Deployment for Supply Chain Management”, IEEE 3rd International Conference on Innovations in Information, Embedded & Communication Systems” - ICIIECS 2016 . Coimbatore, 2016.

Publication Type: Journal Article

Year of Publication Publication Type Title

2017

Journal Article

G. V. Joy, Silvian, S. P., Alahmari, K., 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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2016

Journal Article

Sathishkumar V. R., Dr. Anbuudayasankar S. P., and Thennarasu, M., “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. More »»

2016

Journal Article

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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2016

Journal Article

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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2015

Journal Article

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—a greener approach”, Environmental Science and Pollution Research, 2015.[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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Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

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