Dr. Raghuram P. currently serves as Assistant Professor at Department of Mechanical Engineering, School of Engineering, Coimbatore Campus. His areas of research include Responsive Supply Chain Management, Lean Manufacturing, Agile Manufacturing and Tool Design.
May 1997 – Present | Assistant Professor-Selection Grade, Department of Mechanical Engineering, Amrita Vishwa Vidyapeetham |
June 1995 – April 1997 | Assistant Manager - Operations M/s Multi-Facet ConsultantsPvt. Ltd. Chennai, TN |
May 1993 – May 1995 | Design Engineer Macon Engineers Chennai, TN |
Year of Publication | Title |
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2020 |
P. Raghuram and Singh, A., “Warehouse optimisation using demand data analytics – a case study-based approach”, Int. J. Business Information Systems, vol. 10, 2020. |
2020 |
P. Raghuram and Saleeshya, P. G., “Responsiveness Model of Textile Supply Chain – A Structural Equation Modeling based Investigation”, Int. J. Services and Operations Management, vol. 10, 2020. |
2020 |
P. Raghuram and Harisankar, G., “Modeling and Assessment of the Impact of Supply Disruption and Cost of Recovery using Systems Dynamics Approach”, Int. J. Industrial and Systems Engineering, vol. 10, 2020. |
2020 |
P. Raghuram and Sulaiman, S., “Agent_based modelling in Capacitated Lot Sizing Problem with Sequence dependent Setup time”, Int. J. of Operational Research, 2020. |
2020 |
P. Raghuram and Dhianeshwar, J., “Empirical Investigation of Supply Disruption in Plastic SMEs”, Int. J. of Productivity and Quality Management, vol. 10, 2020. |
2017 |
P. Raghuram, Sahay, M., and .G.Saleeshya, P., “Delivery Service through an Integrated Inventory Management Model using a System Dynamics Model”, Proceedings of the International Conference on Industrial Engineering and Operations Management Bogota, Colombia, 2017.[Abstract] A pull production system is a make-to-order environment where manufacturing is started only after customer order is received and hence demand is confirmed. In an environment having dominant flow path for the products, it offers challenging scope for the management and control of raw material, work-in-process and finished goods inventory. Literature and industrial practice suggests a variety of heuristic models used to control inventory to optimal levels. Estimating and knowing the current and future inventories to be maintained is essential to sustain the material flow throughout the planning period. In this paper, we develop an integrated inventory control model integrating the demand and component material flows in a multi-customer, multi-product environment using system dynamics simulation modeling. We have simulated the model in a pull production system where the complete cycle depends on the customer order. The inventory level and structure are linked to delivery service and in effect to competitive advantage. More »» |
2016 |
P. Raghuram and Dr. Saleeshya P.G., “Assessing the responsiveness of supply chain – structural equation modelling based approach”, International Journal of Logistics Systems and Management, vol. 25, pp. 558–579, 2016.[Abstract] Companies worldwide have now realised that ‘customer focus’ is what wins the game. As demands of the customer become more and more volatile and unpredictable, they have to stay ahead of their competitors in fulfilling the needs of the customer. The supply chain as a ‘unit’ has to compete against other supply chains for reaching out and delighting the customer. Responding fast to the changing customer needs has been an intangible factor underlying a successful business. Thus, responsiveness of the supply chain has become the differentiator between the competing supply chains. In this paper, the end-to-end supply chain factors influencing responsiveness are identified from extant literature and a model of responsiveness of the supply chain has been developed by conducting a survey of 204 pump manufacturers. The developed model has been validated through confirmatory factor analysis using structural equation modelling. These findings can help to identify the areas of improvement for the supply chain and may lead to a focused improvement in these areas thus improving responsiveness and profitability. More »» |
2016 |
P. Raghuram and Dr. Saleeshya P.G., “Assessing the responsiveness of supply chain -structural equation modelling based approach”, International Journal of Logistics Systems and Management, vol. 25, pp. 558-579, 2016.[Abstract] Companies worldwide have now realised that 'customer focus' is what wins the game. As demands of the customer become more and more volatile and unpredictable, they have to stay ahead of their competitors in fulfilling the needs of the customer. The supply chain as a 'unit' has to compete against other supply chains for reaching out and delighting the customer. Responding fast to the changing customer needs has been an intangible factor underlying a successful business. Thus, responsiveness of the supply chain has become the differentiator between the competing supply chains. In this paper, the end-to-end supply chain factors influencing responsiveness are identified from extant literature and a model of responsiveness of the supply chain has been developed by conducting a survey of 204 pump manufacturers. The developed model has been validated through confirmatory factor analysis using structural equation modelling. These findings can help to identify the areas of improvement for the supply chain and may lead to a focused improvement in these areas thus improving responsiveness and profitability. More »» |
2015 |
Sonujalam .K and P. Raghuram, “Criticality Analysis and Inventory Cost Reduction for High-Value, High Volume Spares”, International Journal of Applied Engineering Research, vol. 10, pp. 30071-30082, 2015. |
2015 |
P. Raghuram, Balaji, K., Karthik S, Hari Haran R, Siva Sankar P, and Vimal P, “Optimization of Machining Parameters In Turning Process Using Exergy Analysis”, International Journal of Applied Engineering Research, vol. 10, pp. 29907-29916., 2015.[Abstract] This study uses thermodynamic frame work to conceptualize the energy used in a manufacturing process. High amount of energy consumed per unit material removed in traditional process has formed the base for developing new technologies while, optimizing the traditional method is often neglected. The main focus has been on product quality while the efficiency of energy per material removal has taken a back step. The study covers turning operation and characterizes the energy consumption by varying the machining parameters. With a steep increase in energy prices, a major part of machining cost is due to the energy consumed. Therefore we take this opportunity to perform exergy analysis to identify conditions where resources are lost and thereby arrive at optimum conditions where the process can run at higher efficiency and reduced cost. More »» |
2015 |
S. Sarath, P. Raghuram, and Venkateswaran, R., “Optimization and scheduling of HAZCHEM logistics with time windows : A case study”, International Journal of Applied Engineering Research, vol. 10, pp. 34270-34276, 2015.[Abstract] This research addresses the optimization of Total Logistics Cost (TLC) and time incurred in logistics activity of the transportation of a liquid Hazardous Chemical (HAZCHEM) through road. The logistics of HAZCHEM is receiving considerable attention because of the increase in demand for various industries and the means of transport is also an important factor. In this paper, the total logistics activity for an industrial system is taken by considering the unloading of the chemical from the ship to the storage tank and the transportation from the storage tank to two different manufacturing plants through roadways. The problems faced are low rate of transportation of raw material and high cost of storage and transportation which affects the production rate and hence profit. The decision variables examined are the number and location of manufacturing plants in the logistics system, the flow of materials from storage to manufacturing plants, the quantity to be transported from storage terminal to plants, loading and unloading of raw materials, storage of raw materials, scheduling of trucks, transportation costs and maximizing fill rate. We are proposing a multi objective optimization model, considering all the constraints. The developed model is a MILP function. The model is solved using Lindo which uses simplex algorithm and Solver in Excel using Evolutionary GA to compare the optimality. The result indicates that the developed model produces considerable reduction in the total system wide logistics cost. We are considering the case of a chemical manufacturing plant which uses liquid HAZCHEM as a basic raw material. © Research India Publications. More »» |
2015 |
P. Raghuram, Hemanath, S., Hiran, S. H., Vignesh, M., and Ranjith, S., “Remaining life assessment of boiler components”, International Journal of Applied Engineering Research, vol. 10, pp. 23755-23768, 2015.[Abstract] Super heater and re-heater coil failures occur very often and thus the boiler have to be shut down affecting power generation. Pre-assessment of the component helps to plan procurement and replacement activities in advance and also improves the reliability and availability of the plant by reducing unplanned forced outages. This paper analyses the cause for such failures, the details of pattern of failure, material specification, operating parameters and the mechanisms involved for the degradation. It looks at using the degradation in mechanical properties and the microstructure of the component as the guiding tools for predicting the health and the remaining life of the component. This paper paves way to assess the condition of any component of any industry. In this paper two different samples at different exposure limits have been considered and analyzed extensively. © Research India Publications. More »» |
2012 |
Dr. Saleeshya P.G., P. Raghuram, and N Vamsi, “Lean manufacturing practices in textile industries–a case study”, International Journal of Collaborative Enterprise (IJCol. Ent), vol. 3, no. 1, pp. 18–37, 2012.[Abstract] Lean manufacturing is a philosophy of eliminating waste through continuous improvement. This paper is an outcome of a case study conducted in a textile industry in south India. Though the concept of lean manufacturing has shown good results in continuous process industry, it has not been extensively used as compared to discrete manufacturing industries. Process industries, especially textile industries, have automatic machinery which are highly inflexible and have high volume/low variety products. This nature of the textile industry makes implementing lean manufacturing techniques a challenge; hence implementing lean techniques in a textile industry has been taken up as a challenge. We have chosen a combination of value stream mapping (VSM), 5S, kanban, kaizen, poka-yoke, and visual controls to improve the processes. The achievement potential scores before and after lean implementation has been highlighted using radar diagrams. The findings of this study reveal that a thorough analysis of the process, setup, and changeover time (CO), use of colour coding for identification of volume-mix, use of kaizen and quality circles which empower the workforce, are some of the various keys to a successful lean implementation in a textile industry. More »» |
2012 |
Dr. Saleeshya P.G., Karthik Suresh Thampy, and P. Raghuram, “A combined AHP and ISM-based model to assess the agility of supply chain-a case study”, International Journal of Integrated Supply Management (IJISM), vol. 7, pp. 167-191, 2012.[Abstract] An agile supply chain corresponds to the quick responsiveness of an organisation to ever changing market demands without compromising on cost and quality of the product. The textile industry is one such industry having a volatile market demand. This paper is an outcome of a case study conducted in a leading spinning industry in South India. Various enablers and determinants of agility were identified through literature review, field study and industry study. Based on the findings of these studies a multi-level model was developed and the suitability of this model to improve the agility of supply chain was tested. For this, two methodologies - analytical hierarchy process (AHP) and interpretive structural modelling (ISM) were identified as suitable tools. The analysis of the results of AHP and ISM methodologies provide the industry an insight on how the supply chain can be made more agile. Further, the model provides the top management a clear vision of the practices to be implemented and the improvement methods to be adopted by the company for an effective management of supply chains in spinning industries. Copyright © 2012 Inderscience Enterprises Ltd. More »» |
2006 |
P. Raghuram and .Gokulachandran, J., “Optimum Scheduling/Cost Control Using Network Analysis”, Journal of Industrial Engineering, vol. XXXV , pp. 11-18., 2006. |
2005 |
P. Raghuram, “Ultrasonics in the construction of mobility aid for the blind”, Proceedings of International Conference on Emerging technologies in Intelligent System and Control, Kumaraguru College of Technology, 2005. |
Year of Publication | Title |
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2012 |
Dr. Saleeshya P.G. and P. Raghuram, “Modeling a responsive supply chain through exploratory factor analysis”, Proceedings of The 12th Consortium of Students in Management Research (COSMAR 2012) . Department of Management Studies, Indian Institute of Science, Bangalore , p. 64, 2012. |
2006 |
P. Raghuram, “Electrochemical Micromachining”, Proceedings of International Conference on Global Manufacturing and Innovation (GMI 2006). Coimbatore Institute of Technology, Coimbatore, 2006. |
Total number of Publications : 21
Citations : 28
S.NO. | ACADEMIC YEAR | TITLE | DONE AT |
1 | 2017-18 | Development ofSupply Chain Risk Mitigation Index using a Maturity Framework | |
2 | 2016-17 | Inventory Analytics - Bibliometric Review and Bayesian Networks Approach to Inventory Control | |
3 | Pareto optimization of supply chain reliability using Fuzzy DEA | ||
4 | Productivity improvement through VSM and Defect reduction for an automotive component | LG Balakrishnan & Bros. (P) Ltd., Coimbatore | |
5 | 2015-16 | An empirical analysis of Supply Chain Risk management in the Textile/Pump Supply Chain | Textile/Pump Industries, Coimbatore and Tirupur area |
6 | Development of a Model for Inventory Optimization using System Dynamics | Delphi Connection Systems India Ltd., Thrissur | |
7 | Quality Filter Mapping in a Shell Moulding Foundry | Indoshell Casting, Coimbatore | |
8 | Streamlining of a production and Assembly line of Booster Pump | Mahendra Pumps, Coimbatore | |
9 | 2014-15 | Quality-Value Stream Mapping in an Automobile Engine Assembly line | Royal Enfield, Coimbatore |
10 | Design and Development of a High-Speed High-Precision Pick and Place Unit | Titan Industries, Hosur | |
11 | Design and Implementation of a Cellular Manufacturing System (CMS) | Aquasub Industries Private Limited, Coimbatore | |
12 | Development of an integrated Decision Support System for Supplier Selection using Qualitative and Quantitative Criteria. | Penta Automotives, Coimbatore | |
13 | Assembly line Balancing and Workstation Design for a Pump Manufacturing Industry | Mahendra Pumps, Coimbatore | |
14 | Optimization of Machining Parameters using Exergy Analysis | In-house experimentation @ Lathe Shop, Dept of Mech. Engg. | |
15 | 2013-14 | Design of Special Purpose Machine for Fettling Process | Everon Castings, Coimbatore |
16 | Process Improvement of Slim-3 Vertical Machining Centre Assembly Line | Makino Industries Private Limited, Bangalore | |
17 | Improving the machine utilization of Semi-automatic power presses in a horn manufacturing industry | Roots Industries India Limited, Coimbatore | |
18 | 2012-13 | Mistake Proofing of Manual Interventions in CNC Machines and CAM Programming | Precision Machining Centre, Larson & Toubro, Coimbatore |
19 | MILP based Optimization Model for Scheduling in Pharmaceutical Industry | Orchid Chemicals and Pharmaceuticals Ltd., Chennai; Strides Arcolab Limited, Bangalore | |
20 | Customization of Assembly line and Fixture design in Pro/Engineer | WABCO India Limited, Chennai | |
21 | 2011-12 | Lean Management in Quality Control Department | Best and Crompton Pumps, Chennai |
22 | Theoretical Framework for Streamlining the Textile Supply Chain through Structural Equation Modeling | Textile Industries in and around Tirupur and Coimbatore | |
23 | Implementation of Lean Techniques in a Control Valve Manufacturing Company | CIRCOR Flow Technologies, Coimbatore | |
24 | Process Analysis for Project-based and Continuous Manufacturing Industry | Aerospace Division, M/s Larson & Toubro, Coimbatore | |
25 | 2010-11 | Design and fabrication of Electrochemical machine | In-house @ Special Machines Lab, Dept of Mech. Engg. |
26 | 2009-10 | Quality Value Stream Mapping for Small Angle Grinders | Bosch, Hosur |
27 | Implementation of Lean Six Sigma | Aquasub Industries Private Limited, Coimbatore Deccan Pumps, Coimbatore | |
28 | Design of Electrochemical machine | In-house @ Special Machines Lab, Dept of Mech. Engg | |
29 | Value Engineering Study on a Wind Mill Cable Clamp | Sri Murugan Industry, Erode | |
30 | 2008-09 | Design of Fixtures for ACB assembly problems | Larson & Toubro, Powai, Mumbai |
31 | Quality Implementation with SAP and Upgradation of Packaging Machine | Larson & Toubro, Powai, Mumbai | |
32 | Comparative Study & Analysis of two different silver coating thickness over components | Larson & Toubro, Powai, Mumbai | |
33 | Rework Analysis in d sine MCCB - DN4 | Larson & Toubro, Powai, Mumbai | |
34 | Dynamic and Stress Analysis of Switch Disconnector Fuse | Larson & Toubro, Powai, Mumbai | |
35 | 2007-08 | Design and Fabrication of Portable Electrical Discharge Machine | Craftsman, Coimbatore |
36 | Design of a Hydraulic Fixture for the Tack Welding of the Boom for PC200-8 Model of Excavators | Larsen and Toubro – Komatsu, Bangalore | |
37 | 2006-07 | Design and Analysis of NC-based PCB drilling machine | Amrita Technologies, Coimbatore |
38 | 2005-06 | Automation of an Electroplating Plant | Murugadas Electroplating Works, Coimbatore |
39 | 2004-05 | Design and Fabrication of a Tele-operated Mobile Robot for Landmine Detection and Toxic Gas Sensing – Awarded the Innovative Engineers Award with a medallion and a cash prize of Rs.10000 each by INAE, New Delhi. | In-house |
40 | Remaining Life Assessment (RLA) of Boiler Components | Neyveli Lignite Corporation, Neyveli | |
41 | Design and Fabrication of a Mobility Aid for the Visually Impaired | In-house | |
42 | 2003-04 | Fuel Flow Measurement System | Pricol, Coimbatore |
43 | 2003-04 | Ultrasonic Scale Removal | In-house |
44 | 2002-03 | Design and Fabrication of Curing Unit for a Semi-Automated Painting Cell | Janatics India Ltd., Coimbatore |
45 | 2001-02 | Design of Linear Slide for IR 52C | In-house @ CAM Lab, Amrita |
46 | 1997-98 | Improving the Performance of 2-Stroke Spark Ignition IC Engine |