Journal
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Volume 205, Issue 1, Pages 65-80Publisher
ELSEVIER
DOI: 10.1016/j.ejor.2009.11.031
Keywords
Supply chain management; Supply chain planning; Uncertainty modeling; Fuzzy sets
Funding
- Spanish Ministry of Science and Technology
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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. (C) 2009 Elsevier B.V. All rights reserved.
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