A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment

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 joint...

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Bibliographic Details
Published in:European journal of operational research 2010-08, Vol.205 (1), p.65-80
Main Authors: Peidro, David, Mula, Josefa, Jiménez, Mariano, del Mar Botella, Ma
Format: Article
Language:English
Subjects:
Applied sciences
Automobile industry
Decision making models
Decision theory. Utility theory
Electronic procurement
Exact sciences and technology
Fuzzy sets
Inventory control, production control. Distribution
Linear programming
Logistics
Mathematical programming
Operational research and scientific management
Operational research. Management science
Studies
Supply chain management
Supply chain management Supply chain planning Uncertainty modeling Fuzzy sets
Supply chain planning
Supply chains
Uncertainty
Uncertainty modeling
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Summary: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.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2009.11.031