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Multi-objective optimization decision-making of quality dependent product recovery for sustainability

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  • Meng, Kai
  • Lou, Peihuang
  • Peng, Xianghui
  • Prybutok, Victor

Abstract

The increasing external pressure to establish sustainable operations has forced firms to embrace approaches such as sustainable manufacturing through product recovery. To improve the performance of product recovery, we studied a decision-making problem involving the selection between end-of-life product remanufacturing and dismantling. A quality-dependent multi-objective optimization model was developed and validated to identify the optimal or near optimal product recovery solution that best balances the economic, environmental and societal performances of product recovery for sustainability. We also investigated how the quality level, recovery cost and retail price impact the product recovery decision under different decision makers’ preferences. Experiments on a case of an automobile engine model demonstrated the multi-objective optimization model's effectiveness to achieve satisfactory recovery solution. The results also provide insights for product recovery practices, which can assist firms in adapting their practices to meet the challenges of sustainability.

Suggested Citation

  • Meng, Kai & Lou, Peihuang & Peng, Xianghui & Prybutok, Victor, 2017. "Multi-objective optimization decision-making of quality dependent product recovery for sustainability," International Journal of Production Economics, Elsevier, vol. 188(C), pages 72-85.
    • Handle: RePEc:eee:proeco:v:188:y:2017:i:c:p:72-85
    DOI: 10.1016/j.ijpe.2017.03.017
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    References listed on IDEAS

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    1. Guo, Shanshan & Aydin, Goker & Souza, Gilvan C., 2014. "Dismantle or remanufacture?," European Journal of Operational Research, Elsevier, vol. 233(3), pages 580-583.
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    6. Kai Meng & Peihuang Lou & Xianghui Peng & Victor Prybutok, 2016. "An improved co-evolutionary algorithm for green manufacturing by integration of recovery option selection and disassembly planning for end-of-life products," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5567-5593, September.
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    Cited by:

    1. Neuvonen, Lauri & Wildemeersch, Matthias & Vilkkumaa, Eeva, 2023. "Supporting strategy selection in multiobjective decision problems under uncertainty and hidden requirements," European Journal of Operational Research, Elsevier, vol. 307(1), pages 279-293.
    2. Kai Meng & Xiaoming Qian & Peihuang Lou & Jiong Zhang, 2020. "Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 183-197, January.
    3. Zhikun Ding & Wanqi Nie & Huanyu Wu, 2022. "Investigating the connection between stakeholders’ purchase intention and perceived value of construction and demolition waste recycled products," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9285-9303, July.
    4. Gunasekara, Lahiru & Robb, David J. & Zhang, Abraham, 2023. "Used product acquisition, sorting and disposition for circular supply chains: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 260(C).
    5. Song, Jinbo & Zhao, Yunpeng & Jin, Lulu & Sun, Yan, 2018. "Pareto optimization of public-private partnership toll road contracts with government guarantees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 158-175.
    6. Meng, Kai & Cao, Ying & Peng, Xianghui & Prybutok, Victor & Gupta, Varun, 2020. "Demand-dependent recovery decision-making of a batch of products for sustainability," International Journal of Production Economics, Elsevier, vol. 224(C).
    7. Cao, Jian & Wu, Sisi & Kumar, Sanjay, 2023. "Recovering and remanufacturing to fulfill EPR regulation in the presence of secondary market," International Journal of Production Economics, Elsevier, vol. 263(C).
    8. Meiyan Lin & Kwai Sang Chin & Lijun Ma & Kwok Leung Tsui, 2020. "A comprehensive multi-objective mixed integer nonlinear programming model for an integrated elderly care service districting problem," Annals of Operations Research, Springer, vol. 291(1), pages 499-529, August.
    9. Ali Sadollah & Mohammad Nasir & Zong Woo Geem, 2020. "Sustainability and Optimization: From Conceptual Fundamentals to Applications," Sustainability, MDPI, vol. 12(5), pages 1-34, March.

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