ハイブリッド型遺伝的アルゴリズムを用いた配送経路に制約を伴う多品種ロジスティクスネットワーク問題の研究

カテゴリ: 部門大会

論文No: OS6-1

グループ名: 【C】平成19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: 2007/09/04

タイトル(英語): A Hybrid Genetic Algorithm for Delivery Route Constrained Multi-product Logistics Network Design

著者名: 安高真一郎 (早稲田大学),玄 光男(早稲田大学)

著者名(英語): Shinichiro Ataka(Waseda University),Mitsuo Gen(Waseda University)

キーワード: ハイブリッド型遺伝的アルゴリズム|多品種生産モデル|配送計画|ロジスティクス・ネットワーク|Hybrid Genetic Algorithm|Multi-product|Transportation Planning|Logistics Network

要約(日本語): Logistics network design is one of the most important fields in supply chain management (SCM). For some real-world applications, it is often that the Transportation Planning (TP) model is extended to satisfy other additional constraints or performed in several stages. In addition, a product produced in a factory may be several kinds. Even if it is a factory of the same company, delivery method is different by a kind of products. The restrictions which this model has are deeply concerned with TP model in the real world.
In this paper, we formulate a flexible logistics network model with considering the constraints of delivery course. To solve the problem, we also propose an effective hybrid Genetic Algorithms (hGA) approach by using a priority-based encoding method with special decoding process for a delivery course. Finally, numerical experiments with various scales of logistics network problems show the effectiveness and the efficiency of our approach by comparing with the recent researches.

PDFファイルサイズ: 4,705 Kバイト