Multi-commodity Logistics Network Optimization Design by A Effective Evolutionary Approach

カテゴリ: 部門大会

論文No: OS3-1

グループ名: 【C】平成18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: 2006/09/05

タイトル(英語): Multi-commodity Logistics Network Optimization Design by A Effective Evolutionary Approach

著者名: 玄 光男(早稲田大学),李静銀 (早稲田大学),林 林(早稲田大学)

著者名(英語): Mitsuo Gen(Waseda University),Jeongeun Lee(Waseda University),Lin Lin(Waseda University)

キーワード: ロジスティクス・ネットワーク|遺伝的アルゴリズム|多品種ロジスティクス多品種ロジスティクス|Logistics Network|Genetic Algorithm|Multi-commodity Logistics

要約(日本語): Logistics system design problems commonly occur in the following form: A number of production plants supply the distribution centers with multiple products which in turn supply customers (or retail outlets) with specified demand quantities of the different products. Companies now will need to make the required organizational changes that will facilitate coordination of these operational functions and develop an ability to make more complex decisions within this structure.

In this paper, we address the formulation of a complex two-stage multi-commodity production and distribution system problem incorporating resource allocation and optimal delivery based on minimizing the total cost. As the solution method, we propose a spanning tree-based genetic algorithm (st-GA) with Fuzzy Logic Control (FLC). To see the effectiveness and the efficiency of our proposed method, we have several numerical experiments and compare the result with that of the previous work.

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