Solving VRP Subproblem in SCM System by Genetic Algorithm with Fuzzy Logic Controller

カテゴリ: 部門大会

論文No: OS5-7

グループ名: 【C】平成15年電気学会電子・情報・システム部門大会講演論文集

発行日: 2003/08/29

タイトル(英語): Solving VRP Subproblem in SCM System by Genetic Algorithm with Fuzzy Logic Controller

著者名: Admi Syarif(Ashikaga Institute of Technology),Mitsuo Gen(Waseda University),Mitsuo Yamashiro(Ashikaga Institute of Technology)

著者名(英語): Admi,|Mitsuo,|Mitsuo,

キーワード: SCM|Vehicle Routing Problem|Genetic Algorithm|Local Search

要約(日本語): Recently, research on supply chain management (SCM) system has been receiving great attention and interest of the researchers because of its great use in public distribution or logistics system. In most case, they consider an overall production strategy, inventory strategy and flow of products through some facilities in order to minimize cost or maximize profit. In this paper, we develop a multi-stage logistics system that includes VRP problem in the last stage. By assuming that the plant capacities and the customer demand are known in advance, we examine how the distribution centers should be designed and how the product should be produced and transported. We propose a genetic algorithm approach to solve the problem. For improving the performance of the proposed algorithm, Fuzzy Logic Controller (FLC) is adopted for automatically tuning GA parameters. Several numerical experiments are done to show the effectiveness of the proposed method.

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