A multi-stage reverse logistics network problem by using hybrid priority-based genetic algorithm (特集:進化技術とその応用)
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概要
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Today remanufacturing problem is one of the most important problems regarding to the environmental aspects of the recovery of used products and materials. Therefore, the reverse logistics is gaining become power and great potential for winning consumers in a more competitive context in the future. This paper considers the multi-stage reverse Logistics Network Problem (m-rLNP) while minimizing the total cost, which involves reverse logistics shipping cost and fixed cost of opening the disassembly centers and processing centers.In this study, we first formulate the m-rLNP model as a three-stage logistics network model. Following for solving this problem, we propose a Genetic Algorithm pri (GA) with priority-based encoding method consisting of two stages, and introduce a new crossover operator called Weight Mapping Crossover (WMX). Additionally also a heuristic approach is applied in the 3rd stage to ship of materials from processing center to manufacturer. Finally numerical experiments with various scales of the m-rLNP models demonstrate the effectiveness and efficiency of our approach by comparing with the recent researches.
- 社団法人 電気学会の論文
- 2008-03-01
著者
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Gen Mitsuo
Graduate School of Engineering Ashikaga Institute of Technology
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Gen Mitsuo
Graduate School Of Information Production & Systems Waseda University
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Rhee Kyong-gu
Department Of Accounting Dongeui University
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LEE Jeong-Eun
Graduate School of Information, Production & Systems, Waseda University
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Lee Jeong-eun
Graduate School Of Information Production & Systems Waseda University
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