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Title: Decision and information interoperability for improving performance of product recovery systems
Authors: Madaan J.
Kumar, Pradeep
Chan F.T.S.
Published in: Decision Support Systems
Abstract: Enterprises around the world are employing product/resource recovery practices to overcome global competition, meet heightened environmental regulations, and seek additional profit making opportunities. These factors in addition to the inherent cost and complexity of recovery processes are due to multidimensional factors and relationships associated with the quality, variety, timeliness, demand changes, and logical processing of product returns. A Reverse Enterprise System (RES) perspective will give scope to develop a flexible system that can handle products with various options and greater return volumes and variability. It explores the various recovery functions and product lifecycle stages and suggests some key business and performance measurement strategies that can be employed to be successful in returns handling. We observed that different recovery nodes act in a relatively autonomous fashion to decide what type and level of flexibility to use, what and when the information is required to be shared for improving decision performance and obtaining benefits from the recovery process. Finally, this paper proposes a semi/partially and fully flexible decision model that facilitates decision and information interoperability functions from the perspective of an enterprise engaged in or planning to be engaged in product recovery processes. © 2012 Elsevier B.V. All rights reserved.
Citation: Decision Support Systems (2012), 53(3): 448-457
Issue Date: 2012
Publisher: Elsevier B.V.
Keywords: Decision Information sharing
Flexible system
Performance measurement
Product recovery
ISSN: 1679236
Author Scopus IDs: 23567916500
Author Affiliations: Madaan, J., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India
Kumar, P., Department of Mechanical and Industrial Engineering, Indian Institute of Technology, Roorkee, India
Chan, F.T.S., Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong
Funding Details: The work described in this paper was supported by a grant from The Hong Kong Polytechnic University (Project no. G-YJ02 ). The authors would like to thank The Hong Kong Polytechnic University Research Committee for the financial and technical support. The authors also thank the editor and the reviewers for their valuable comments and suggestions that have led to the substantial improvement of the paper. Jitendra Madaan is currently working as Asst Professor, Dept of Mechanical and Industrial Engineering (MIED), Indian Institute of Technology (IIT), Roorkee, India. Dr. Jitendra received his B. Tech. from MBM Govt. Engineering College Jodhpur in 2000, M. Tech from National Institute Technology, Jaipur in 2002, and PhD from Indian Institute of Technology, Delhi, India in 2007. Dr. Jitendra's current research interest includes Decision Support Modeling, Planning, Scheduling and Control Problems of Manufacturing System, Supply Chain Network, AI Applications in Manufacturing, Planning Problem of Product Recovery Systems etc. years of experience in teaching, research, consultancy and Industry at IIT Roorkee, NIT Kurukshetra, West Virginia University U.S.A., Wayne State University U.S.A., AIT Bangkok, Steel Authority of India Limited (SAIL), and DRF Industries. He has published/presented 336 research papers in International and National Journals. His research interests include Supply Chain Management (SCM), Advanced Manufacturing Processes; Microwave Joining of Metals, Metal Casting; Industrial Engineering; Quality Engineering: Robust Design Methodologies, Reliability Engineering; and Production and Operations Management. Pradeep Kumar , had obtained Bachelor of Engineering in Industrial Engineering in 1982 and Master of Engineering in Production Engineering (Gold Medalist) in 1989. He had received Ph.D. in 1994 in Industrial and Production Engineering. He has earned all the above degrees from University of Roorkee (Now, IIT Roorkee). Dr. Pradeep Kumar has more than 24 Felix T. S. Chan received his BSc Degree in Mechanical Engineering from Brighton Polytechnic (now University), UK, and obtained his MSc and PhD in Manufacturing Engineering from the Imperial College of Science and Technology, University of London, UK. Dr. Chan is now an Associate Professor in the Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University. His current research interests are Logistics and Supply Chain Management, Distribution Coordination, Systems Modeling and Simulation, Supplier Selection. To date, he has published nine book chapters, over 200 refereed international journal papers and 200 peer reviewed international conference papers. He is a Chartered Member of the Chartered Institute of Logistics and Transport in Hong Kong.
Corresponding Author: Chan, F.T.S.; Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong, Hong Kong; email:
Appears in Collections:Journal Publications [ME]

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