Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
480538 | European Journal of Operational Research | 2010 | 16 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
David Peidro, Josefa Mula, Mariano Jiménez, Ma del Mar Botella,