ランダムキー型多目的遺伝的アルゴリズムによる多段階SCM設計の最適化

カテゴリ: 部門大会

論文No: OS3-4

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): Optimization of Multi-stage SCM Design by Random-Key based Multi-objective Genetic Algorithm

著者名: 井上 古樹(宮崎産業経営大学),玄 光男(早稲田大学)

著者名(英語): Hisaki Inoue(Miyazaki Sangyo-keiei University),Mitsuo Gen(Waseda University)

キーワード: サプライチェーン|多段階輸送問題|優先順位型遺伝的アルゴリズム|ランダムキー型遺伝的アルゴリズム|supply chain|mufti-stage transportation problem|priority-based algorithm|random key-based genetic algorithm

要約(日本語): The design of a supply chain network is the important applicable field of operations research.
It is paid attention the improvement about the traffic cost and services. It is one of important problem to decide delivery route for minimizing the total cost based on transportations cost between suppliers, factories, delivery centers and customers. In this paper, we propose to get the minimum transportation cost by random key-based genetic algorithm for designing the efficient supply chain network. We confirm the validity of the proposed method to cut down simulation numbers when comparing with the spanning tree-based genetic algorithm and priority based genetic algorithm method.

PDFファイルサイズ: 3,804 Kバイト