Journal
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Volume 111, Issue 2, Pages 229-243Publisher
ELSEVIER
DOI: 10.1016/j.ijpe.2006.11.028
Keywords
supply-chain management; distribution; bi-objective; optimization; genetic algorithm
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Supply-chain management and distribution networks design have attracted the attention of many researchers during recent years. Satisfying the customers' demands on time will lead to cost reductions, and will also increase the service level of the supply chain. The aim of this research is to develop and solve a model for just-in-time (JIT) distribution in the context of supply-chain management. A bi-objective model is set up for the distribution network of a three-echelon supply chain, with two objective functions: minimizing costs, and minimizing the sum of backorders and surpluses of products in all periods. Delivery lead times and capacity constraints are also considered in a multi-period, multi-product and niulti-channel network. A hybrid non-dominated sorting genetic algorithm is applied to solve real-size problems of this mixed-integer linear programming model. ((c) 2007 Elsevier B.V. All rights reserved.
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