FUZZY LINEAR PROGRAMMING FOR SUPPLY CHAIN PLANNING UNDER UNCERTAINTY

David Peidro (), Josefa Mula () and Raúl Poler ()
Additional contact information
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

International Journal of Information Technology & Decision Making (IJITDM), 2010, vol. 09, issue 03, 373-392

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.

Keywords: Fuzzy mathematical programming; supply chain planning; uncertainty modeling; fuzzy sets (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S0219622010003865

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