Study of a Large-scale Non-linear optimal model on　reverse logistics network

doi:10.7523/j.issn.2095-6134.2007.6.005

›› 2007, Vol. 24 ›› Issue (6): 749-755.DOI: 10.7523/j.issn.2095-6134.2007.6.005

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Study of a Large-scale Non-linear optimal model on　reverse logistics network

XU Han, ZHANG Min-Hong

Department of Mathematics, Graduate University of the Chinese Academy of Sciences

Received:1900-01-01 Revised:1900-01-01 Online:2007-11-15

Abstract

Abstract: The research of reverse logistics is receiving much attention recently along with growing environmental and the saving concern. This paper studies an non-linear mixed integer model of big size, multi-recover product reverse supply chain. Its objective is to minimize the total cost of the reverse net. Furthermore, a improved genetic algorithm is designed for the model. Finally, the model is tested on an example for illustrating its feasibility and effectiveness.

Key words: reverse logistics, large-scale non-linear mixed integer programming, genetic algorithm

CLC Number:

F406

XU Han, ZHANG Min-Hong. Study of a Large-scale Non-linear optimal model on　reverse logistics network[J]. , 2007, 24(6): 749-755.

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Study of a Large-scale Non-linear optimal model on　reverse logistics network

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Study of a Large-scale Non-linear optimal model on reverse logistics network

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Study of a Large-scale Non-linear optimal model on　reverse logistics network