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http://dx.doi.org/10.9723/jksiis.2014.19.4.087

Analysis of regionally centralized and decentralized multistage reverse logistics networks using genetic algorithm  

Yun, YoungSu (조선대학교 경영학부)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.19, no.4, 2014 , pp. 87-104 More about this Journal
Abstract
This paper proposes regionally centralized multistage reverse logistics (cmRL) networks and regionally decentralized multistage reverse logistics (dmRL) networks. cmRL considers whole area of RL network, while dmRL regionally distributed area of RL network. Each type is formulated by the mixed integer programming (MIP) models, which are realized in genetic algorithm (GA) approach. Two types of numerical experiments using RL network are presented and various measures of performance are used for comparing the efficiency of the cmRL and the dmRL. Finally, it is proved that the performance of the cmRL is superior to that of the dmRL.
Keywords
centralized and decentralized multistage reverse logistics networks; genetic algorithm;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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