A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment |
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| Authors: | David Peidro Josefa Mula Mariano Jiménez Ma del Mar Botella |
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| Institution: | 1. Research Centre on Production Management and Engineering (CIGIP), Universidad Politécnica de Valencia, Spain;2. Department of Applied Economy, Universidad del Pa?´s Vasco, Spain;3. Department of Business Administration, Universidad Politécnica de Valencia, Spain |
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| Abstract: | This paper models supply chain (SC) uncertainties by fuzzy sets and develops a fuzzy linear programming model for tactical supply chain planning in a multi-echelon, multi-product, multi-level, multi-period supply chain network. In this approach, the demand, process and supply uncertainties are jointly considered. The aim is to centralize multi-node decisions simultaneously to achieve the best use of the available resources along the time horizon so that customer demands are met at a minimum cost. This proposal is tested by using data from a real automobile SC. The fuzzy model provides the decision maker (DM) with alternative decision plans with different degrees of satisfaction. |
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| Keywords: | Supply chain management Supply chain planning Uncertainty modeling Fuzzy sets |
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