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Closed-loop supply chain network configuration by a multi-objective mathematical model

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  • Saman Hassanzadeh Amin
  • Guoqing Zhang

Abstract

Integration of forward and reverse channels results in closed-loop supply chain networks. In this research, a mixed-integer linear programming model is proposed to configure a closed-loop supply chain network. The network includes multiple products, plants, recovery technologies, demand markets, and collection centres. The objective function is minimisation of the total cost. The model can determine number and locations of open facilities, and flows of products in the network. In addition, we develop the model to multi-objectives by considering minimisation of defect rates and time of operations in collection centres. To solve the model, weighted-sums and distance methods are applied in copier remanufacturing example and the results are analysed. Moreover, value path approach is applied to compare the results of different methods.

Suggested Citation

  • Saman Hassanzadeh Amin & Guoqing Zhang, 2014. "Closed-loop supply chain network configuration by a multi-objective mathematical model," International Journal of Business Performance and Supply Chain Modelling, Inderscience Enterprises Ltd, vol. 6(1), pages 1-15.
    • Handle: RePEc:ids:ijbpsc:v:6:y:2014:i:1:p:1-15
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    Citations

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    Cited by:

    1. Ashayeri, Jalal & Ma, Ning & Sotirov, Renata, 2015. "The redesign of a warranty distribution network with recovery processes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 184-197.
    2. Rodrigo Rodrigues de Freitas & Márcio de Almeida D’Agosto & Lino Guimarães Marujo, 2021. "Methodological Proposal for Recognition Systems in Sustainable Freight Transport," Sustainability, MDPI, vol. 13(13), pages 1-16, July.
    3. Gaur, Jighyasu & Amini, Mehdi & Rao, A.K., 2017. "Closed-loop supply chain configuration for new and reconditioned products: An integrated optimization model," Omega, Elsevier, vol. 66(PB), pages 212-223.
    4. Häntsch, Marius & Huchzermeier, Arnd, 2016. "Transparency of risk for global and complex network decisions in the automotive industry," International Journal of Production Economics, Elsevier, vol. 175(C), pages 81-95.
    5. Amin Yazdekhasti & Yahia Zare Mehrjardi, 2020. "Two-echelon three-indenture warranty distribution network: a hybrid branch and bound, Monte-Carlo approach," Operational Research, Springer, vol. 20(2), pages 1113-1158, June.
    6. Luay Jum’a & Dominik Zimon & Muhammad Ikram, 2021. "A Relationship between Supply Chain Practices, Environmental Sustainability and Financial Performance: Evidence from Manufacturing Companies in Jordan," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    7. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.

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