期刊
COMPUTERS & OPERATIONS RESEARCH
卷 37, 期 6, 页码 1100-1112出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2009.09.018
关键词
Integrated logistics network; Closed loop supply chain network; Memetic algorithm; Multi-objective optimization
Logistics network design is a major strategic issue due to its impact on the efficiency and responsiveness of the supply chain. This paper proposes a model for integrated logistics network design to avoid the sub-optimality caused by a separate, sequential design of forward and reverse logistics networks. First, a bi-objective mixed integer programming formulation is developed to minimize the total costs and maximize the responsiveness of a logistics network. To find the set of non-dominated solutions, an efficient multi-objective memetic algorithm is developed. The proposed solution algorithm uses a new dynamic search strategy by employing three different local searches. To assess the quality of the novel solution approach, the quality of its Pareto-optimal solutions is compared to those generated by an existing powerful multi-objective genetic algorithm from the recent literature and to exact solutions obtained by a commercial solver. (C) 2009 Elsevier Ltd. All rights reserved.
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