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Strategies for evaluating performance of flexibility in product recovery system

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  • Jitender Madaan
  • Felix T.S. Chan
  • Ben Niu

Abstract

In view of the increasing business opportunities with changing customer attitudes and stricter legislations, the handling of returns has become a daunting challenge. The need for decision models for evaluating return performance has been observed in the academia and the corporate world. To improve return system performance, integrated flexible reverse enterprise systems have attracted attention from researchers as well as practitioners. This paper addresses these critical issues and proposes a novel integrated and Flexible recovery system decision model. The proposed model aims to facilitate enterprises in assessing their product recovery system capability, and in improving overall performance. The proposed model is a natural extension of several well-grounded policies for conventional reverse supply chains and can be verified on a simulation platform.

Suggested Citation

  • Jitender Madaan & Felix T.S. Chan & Ben Niu, 2016. "Strategies for evaluating performance of flexibility in product recovery system," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 2895-2906, May.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:10:p:2895-2906
    DOI: 10.1080/00207543.2015.1120899
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    References listed on IDEAS

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    1. Byrne, M. D. & Bakir, M. A., 1999. "Production planning using a hybrid simulation - analytical approach," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 305-311, March.
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    Cited by:

    1. Iuan-Yuan Lu & Tsuanq Kuo & Ting-Syuan Lin & Gwo-Hshiung Tzeng & Shan-Lin Huang, 2016. "Multicriteria Decision Analysis to Develop Effective Sustainable Development Strategies for Enhancing Competitive Advantages: Case of the TFT-LCD Industry in Taiwan," Sustainability, MDPI, vol. 8(7), pages 1-31, July.

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