Genetic Algorithm Approach solving Multi-objectives Integrated Process Planning and Scheduling Problems

カテゴリ: 部門大会

論文No: SS1-10

グループ名: 【C】平成29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: 2017/09/06

タイトル(英語): Genetic Algorithm Approach solving Multi-objectives Integrated Process Planning and Scheduling Problems

著者名: Liu Zhenqi(Waseda University),Weng Wei(Waseda University),Fujimura Shigeru(Waseda University)

著者名(英語): Zhenqi Liu|Wei Weng|Shigeru Fujimura

キーワード: process plan|scheduling|multi-objectives

要約(日本語): In manufacture system, process planning and scheduling are two procedures of great significance to the efficiency. In this paper, we are going to solve problems integrating process planning with scheduling (IPPS) with multi-objectives. The objectives including makespan, total machine work load, and maximal machine work load. To solve this kind of problem, the authors proposed some improvements based on the existed solutions, which is turned to be efficient in practice.

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