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A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design

Author

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  • Yu-Chung Tsao

    (National Taiwan University of Science and Technology)

  • Vu-Thuy Linh

    (National Taiwan University of Science and Technology)

  • Jye-Chyi Lu

    (Georgia Institute of Technology)

  • Vincent Yu

    (National Taiwan University of Science and Technology)

Abstract

Growing awareness of environmental issues is prompting the development of sustainable supply chain management. Closed-loop supply chains in which used products can be returned for remanufacture are becoming increasingly popular. This paper introduces a two-phase approach to the design of supply chain networks taking into account carbon emission and remanufacturing. In the first phase, a continuous approximation model is used to design the forward supply chain network. The objective is to minimize the total forward network cost by simultaneously determining the number and the service areas of distribution centers (DCs) and the replenishment cycle time for DCs. A nonlinear optimization technique is used to solve the forward supply chain network design problem. In the second phase, a reverse supply chain network is formulated based on the results of the first phase to determine the optimal number and service areas of remanufacturing centers (RCs) and the replenishment cycle time for RCs. Finally, numerical analyses are conducted to show the solution approach and provide some managerial insights.

Suggested Citation

  • Yu-Chung Tsao & Vu-Thuy Linh & Jye-Chyi Lu & Vincent Yu, 2018. "A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 693-705, March.
    • Handle: RePEc:spr:joinma:v:29:y:2018:i:3:d:10.1007_s10845-017-1296-4
    DOI: 10.1007/s10845-017-1296-4
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    Cited by:

    1. Milad Mohammadi & Alibakhsh Nikzad, 2023. "Sustainable and reliable closed-loop supply chain network design during pandemic outbreaks and disruptions," Operations Management Research, Springer, vol. 16(2), pages 969-991, June.
    2. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
    3. Luttiely Santos Oliveira & Ricardo Luiz Machado, 2021. "Application of optimization methods in the closed-loop supply chain: a literature review," Journal of Combinatorial Optimization, Springer, vol. 41(2), pages 357-400, February.

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