多目的遺伝的アルゴリズムによる分散環境下のコンピュータ支援プロセス計画

カテゴリ: 部門大会

論文No: OS6-5

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): Using Multi-Objective Genetic Algorithm for Computer-Aided Process Planning in Distributed Environments

著者名: 張聞強 (早稲田大学),玄 光男(早稲田大学),程潤偉 (JANAソリューション)

著者名(英語): WenQiang Zhang(Waseda University),Mitsuo Gen(Waseda University),RunWei Cheng(JANA Solutions)

キーワード: コンピュータ支援プロセス計画|分散環境|多目的遺伝的アルゴリズム多目的遺伝的アルゴリズム|Computer-Aided Process Planning|Distributed Environments|Multi-Objective Genetic Algorithm

要約(日本語): In a distributed manufacturing environment, factories possessing various machines and tools at different geographical locations are often combined to achieve the highest production efficiency. When jobs requiring several operations are received, feasible process plans are produced by those available factories and different resource constraints. Therefore, obtaining an optimal or near-optimal process plan becomes important.
This paper presents a multi-objective genetic algorithm (moGA), which, according to prescribed criteria such as minimizing processing time, minimizing production cost and minimizing factory changing times, could swiftly search for the optimal process plan in distributed manufacturing systems. The process plan is decided by operations sequence, factory selection, machine selection, tool selection and tool access direction selection. By applying the moGA, the computer-aided process planning (CAPP) system can generate optimal or near-optimal process plans.

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