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Fuzzy Linear Programming For Supply Chain Planning Under Uncertainty

Author

Listed:
  • DAVID PEIDRO

    (Research Centre on Production Management and Engineering, Polytechnic University of Valencia, EPSA, Ed. Ferrándiz, Alcoy, Alicante 03801, Spain)

  • JOSEFA MULA

    (Research Centre on Production Management and Engineering, Polytechnic University of Valencia, EPSA, Ed. Ferrándiz, Alcoy, Alicante 03801, Spain)

  • RAÚL POLER

    (Research Centre on Production Management and Engineering, Polytechnic University of Valencia, EPSA, Ed. Ferrándiz, Alcoy, Alicante 03801, Spain)

Abstract

A new fuzzy mathematical programming model for supply chain planning under supply, process and demand uncertainty is proposed in this paper. A tactical supply chain planning problem has been formulated as a fuzzy mixed integer linear programming model where data are ill-known and modeled by fuzzy numbers with modifieds-curve membership functions. The fuzzy model provides alternative decision plans to the decision maker (DM) for different degrees of satisfaction. Finally, the proposed model is tested by using data from a real automobile supply chain.

Suggested Citation

  • David Peidro & Josefa Mula & Raúl Poler, 2010. "Fuzzy Linear Programming For Supply Chain Planning Under Uncertainty," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 373-392.
    • Handle: RePEc:wsi:ijitdm:v:09:y:2010:i:03:n:s0219622010003865
    DOI: 10.1142/S0219622010003865
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    Cited by:

    1. Kun Guo & Qishan Zhang, 2017. "A Discrete Artificial Bee Colony Algorithm for the Reverse Logistics Location and Routing Problem," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1339-1357, September.
    2. Simona Cosma & Giovanni Mastroleo & Paola Schwizer, 2018. "Assessing corporate governance quality: substance over form," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 22(2), pages 457-493, June.

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