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Flexibility Focused Decision and Information Sharing Model for Product Recovery System

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Abstract

As a result of rapid progress in technology and the shrinking product lifecycles faster than ever before, has led creeping realization of additional profits by performing the effective and efficient product recovery operations at a world-class level quintessential. Realization of these motives is complex due to the multidimensional relationships associated with the quality, variety, timeliness, demand changes, and logical processing of product returns and inherent complexity of recovery process. Therefore an Enterprise System (ES) perspective will give us a scope to develop a profit oriented recovery process as a flexible system that can handle products with various options and greater return volume and structural variability. This paper proposes generic model to enterprises engaged in or to be engaged in product recovery processes. A semi or partially flexible decision process model that facilitates flexible decision and information sharing (DIS) functions in product returns. This DIS model leads us to conceptualize the evolution of information associated with a product returns and how it might be encapsulated by Reverse Enterprise System (RES) to improve its profit and system performance.

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References

  • Blackburn J. D., V. R. Guide, G. S. Souza and V. L. Vassenhove (2004). Reverse Supply Chains for Commercial Returns, California Management Review, 46(2): 6–22.

    Article  Google Scholar 

  • Daniel V. Guide, R Jr. (2000). Production Planning and Control for Remanufacturing: Industry Practice and Research Needs, Journal of Operations Management, 18(4): 467–483.

    Article  Google Scholar 

  • Daugherty P. J., M. B. Myers and R. G. Richey. (2002). Information Support for Reverse Logistics: The Influence of Relationship Commitment, Journal of Business Logistics, 23(1): 85–106.

    Article  Google Scholar 

  • Dowlatshahi S. (2000). Developing a Theory of Reverse Logistics, Interfaces, 30(3): 143–155.

    Article  Google Scholar 

  • Fleischmann M. Guide, D. and Wassenhove (2001). L., Business Aspects of Closed Loop Supply Chains, Carnegie Mellon University Press, Pittsburgh.

    Google Scholar 

  • Fleischmann M. (2001). Quantitative Models for Reverse Logistic, Lecture Notes in Economics and Mathematical Systems 501, Springer-Verlag, Berlin.

    Book  Google Scholar 

  • Fleischmann M., Beullens P., Bloemhof-Ruwaard J. and van Wassenhove L. (2001). The Impact of Product Recovery on Logistics Network Design, Production and Operations Management, 10(2):156–173.

    Article  Google Scholar 

  • Gupta S. M. and McLean C. R. (1996). Disassembly of Products, Computers & Industrial Engineering, 31(1–2): 225–228.

    Article  Google Scholar 

  • Krikke H., A. van Harten and P. Schuur (1999). Business Case Oce: Reverse Logistic Network Re-design for Copiers, OR Spektrum, 34(3): 381–409.

    Article  Google Scholar 

  • Lee H. L., Padmanabhan V. and Whang S. (1997). The Bullwhip Effect in Supply Chains, Sloan Management Review, 38(3):93-102.

    Google Scholar 

  • Lund R.T. (1984). Re-manufacturing, Technology Review, 87(2):18–26.

    Google Scholar 

  • Porter M.E. and van der Linde C. (1995). Green and Competitive, Harvard Business Review, 73:120–134.

    Google Scholar 

  • Rogers D. S. and Tibben-Lembke R. S. (2001). An Examination of Reverse Logistics Practices, Journal of Business Logistics, 22:129-148.

  • Rogers D., Lambert D., Croxton K. and Garcia-Dastugue S. (2002). The Returns Management Process, The International Journal of Logistics Management, 13(2):1–17.

    Article  Google Scholar 

  • Tayur S., Magazine M. and Ganeshan R. (Eds.) (1999). Quantitative Models for Supply Chain Management, Kluwer Academic Publishers, Boston.

    Book  Google Scholar 

  • Thomas V., Neckel W. and Wagner S. (1999). Information Technology and Product Lifecycle Management, IEEE International Symposium on Elect. & the Envirmnt, 54–57.

    Google Scholar 

  • Toktay B., L. Wein and Z. Stefanos (2000). Inventory Management of Remanufacturable Products, Management Science, 46:1412–1426.

    Article  Google Scholar 

  • Wadhwa S. and Madaan J, (2007a). Innovative Framework for Flexible Decisions in Sustainable Enterprise System, Global Journal of Flexible Systems Management, 8(1).

    Google Scholar 

  • Wadhwa S. and Madaan J. (2004). Role of Quality Management (EFQM) Model for Reverse Logistics and Green Productivity: A KM View. International Convention on Quality Control Circles 2004, ICQCC 2004, Bangkok, Thailand, December.

    Google Scholar 

  • Wadhwa S. and Madaan J. (2007d). Innovative Framework for Flexible Decisions in Sustainable Enterprise System, Global Journal of Flexible Systems Management, 8(1).

    Google Scholar 

  • Wadhwa S. and J. Madaan (2007e), Conceptual Framework for Knowledge Management in Reverse Enterprise System, International Journal: Knowledge Management and Practice, 9(2).

    Google Scholar 

  • Wadhwa S and Rao K.S. (2003). Enterprise Modeling of Supply Chains involving Multiple Entity Flows: Role of Flexibility in Enhancing Lead Time Performance, International Journal, Studies in Informatics and Control, 12(1):329–342.

    Google Scholar 

  • Wadhwa S. and Bhagwat R. (1999). Simulation Study Using Taguchi Methods: An Effective Tool Control of Computer Integrated Manufacturing and Logistics Systems, Studies in Informatics and Control, 8(2):121–130.

    Google Scholar 

  • Wadhwa S. and Bhagwat R. (1999). Judicious Increase in Flexibility and Decision Automation in Semi-Computerized Flexible Manufacturing (SCFM) System, International Journal, Studies in Informatics and Control, 8(2):233–245.

    Google Scholar 

  • Wadhwa S. and Brown J. ( 1989) Modelling FMS with Decision Petri Nets, International Journal of Flexible Manufacturing Systems, 1: 253–280.

    Article  Google Scholar 

  • Wadhwa S. and Madaan J. (2007f). An Analytical Hierarchy Process (AHP) Framework for Alternative Selection in Reverse Logistics System, Global Journal of Flexible Systems Management, 8(1).

    Google Scholar 

  • Wadhwa S. and Madaan J. (2007b). A Genetic Algorithm Based Scheduling for a Flexible System, Published in the International Journal: Studies in Informatics and Control, SIC — 16(2), June.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Indian Institute of Technology - Delhi, New Delhi, India

    S. Wadhwa

  2. Department of Mechanical and Industrial Engineering, Indian Institute of Technology - Roorkee, Roorkee, India

    Jitendra Madaan

  3. Department of Electronics & Electrical Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India

    Mudit Verma

Authors
  1. S. Wadhwa
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  2. Jitendra Madaan
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  3. Mudit Verma
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Additional information

Late Subhash Wadhwa (Eur. Ing., C.Eng., Ph.D (Ireland)) worked in Europe for several years on prestigious European projects and a US Multinational before joining IIT Delhi. He extensively contributed to the development of generic simulators and expert systems for flexible systems. He was Professor in Industrial Engineering at the Indian Institute of Technology, Delhi. He contributed to Global projects in the IT domain and has coordinated several workshops. He has been consultant / Contributor / National-Expert to many prestigious International bodies. He has over 200 publications and has reviewed papers for renowned journals. He has also been chief consultant on several Industrial projects. He researched extensively in Flexible Systems, SCM, TQM, BPR, Knowledge Management, Simulation, Intelligent Systems, e-Biz / e-Governance / e-education / e-health care etc. He was dedicated to the goal of bringing synergy between Academics, Industry and Research.

Jitendra Madaan is currently working as Asst Professor, Dept of Mechanical & Industrial Engineering, IIT Roorkee, He completed his research under the supervision of Late Professor Subhash Wadhwa. He has covered a wide variety of areas in Industrial and Systems Engineering and has a working knowledge to improve the system performance. His current research domain is related to the study of flexibility in the context of Forward and Reverse Supply Chain Systems using simulation and other techniques. He has several publications in International Journals.

Mudit Verma has been working in the field of Reverse Logistics and Genetic Algorithm. He has been involved in this domain for the last three years along with Prof. Subhash Wadhwa and Dr. Jitendra Madaan. He is currently a graduate student of Guru Gobind Singh Indraprastha University affiliated Institute MSIT.

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Wadhwa, S., Madaan, J. & Verma, M. Flexibility Focused Decision and Information Sharing Model for Product Recovery System. Global J. Flexible Syst. Manage. 10, 15–22 (2009). https://doi.org/10.1007/BF03396563

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  • DOI: https://doi.org/10.1007/BF03396563

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