Logistics network design for product recovery in fuzzy environment

Zhongfeng Qin and Xiaoyu Ji

European Journal of Operational Research, 2010, vol. 202, issue 2, 479-490

Abstract: The design of product recovery network is one of the important and challenging problems in the field of reverse logistics. Some models have been formatted by researchers under deterministic environment. However, uncertainty is inherent during the process of the practical product recovery. In order to deal with uncertainty, this paper employs a fuzzy programming tool to design the product recovery network. Based on different criteria, three types of optimization models are proposed and some properties of them are investigated. To solve the proposed models, we design a hybrid intelligent algorithm which integrates fuzzy simulation and genetic algorithm. Finally, several numerical examples are presented to illustrate the effectiveness of the proposed models and algorithm.

Keywords: Credibility; measure; Product; recovery; Reverse; logistics; Fuzzy; programming; Genetic; algorithm; Fuzzy; simulation (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:202:y:2010:i:2:p:479-490

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