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A multi-criterion partner selection problem for virtual manufacturing enterprises under uncertainty

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  • Huang, Bin
  • Bai, Lihui
  • Roy, Arnab
  • Ma, Ningning

Abstract

We study a partner selection problem for virtual manufacturing enterprises facing an uncertain environment. We propose a new method of using the grey system theory to account for uncertainties in a project's start time, completion time, transportation time, as well as cost. We first develop the concepts of delivery time agreement index and cost agreement index, and then formulate a multi-objective partner selection problem that maximizes the minimum delivery time agreement index, the average delivery time agreement index and the cost agreement index. A chaotic particle swarm optimization (CPSO) algorithm is developed. Extensive computational results show that the proposed CPSO method outperforms the standard PSO in providing quality solutions more reliably.

Suggested Citation

  • Huang, Bin & Bai, Lihui & Roy, Arnab & Ma, Ningning, 2018. "A multi-criterion partner selection problem for virtual manufacturing enterprises under uncertainty," International Journal of Production Economics, Elsevier, vol. 196(C), pages 68-81.
    • Handle: RePEc:eee:proeco:v:196:y:2018:i:c:p:68-81
    DOI: 10.1016/j.ijpe.2017.08.024
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    References listed on IDEAS

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    4. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
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    Cited by:

    1. Xiaolin Chu & Yuntian Ge & Xue Zhou & Lin Li & Dong Yang, 2020. "Modeling and Analysis of Electric Vehicle-Power Grid-Manufacturing Facility (EPM) Energy Sharing System under Time-of-Use Electricity Tariff," Sustainability, MDPI, vol. 12(12), pages 1-27, June.

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