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改良近傍スケジュール生成法を用いた改良型並列Reactive Hybrid Particle Swarm Optimizationによる最適生産計画とエネルギープラント最適運用計画の統合最適化

改良近傍スケジュール生成法を用いた改良型並列Reactive Hybrid Particle Swarm Optimizationによる最適生産計画とエネルギープラント最適運用計画の統合最適化

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カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2019/12/01

タイトル(英語): Improved Parallel Reactive Hybrid Particle Swarm Optimization using Improved Neighborhood Schedule Generation Method for the Integrated Framework of Optimal Production Scheduling and Operational Planning of an Energy Plant in a Factory

著者名: 川口 嵩平(明治大学総合数理学部ネットワークデザイン学科),福山 良和(明治大学総合数理学部ネットワークデザイン学科)

著者名(英語): Shuhei Kawaguchi (Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University), Yoshikazu Fukuyama (Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University)

キーワード: 二次エネルギーコスト,エネルギープラント最適運用,ジョブショップスケジューリング問題,メタヒューリスティク手法  the secondary energy cost,optimal operational planning of an energy plant,job-shop scheduling problem,meta-heuristic method

要約(英語): This study proposes improved parallel reactive hybrid particle swarm optimization (IPRHPSO) using an improved neighborhood schedule generation method for the integrated framework of optimal production scheduling and operational planning of an energy plant in a factory. Conventionally, in an energy plant, fixed loads of various tertiary energies have been utilized to solve the optimal operational planning of an energy plant so far. Additionally, in production lines, only the minimization of production time has been yet considered. Therefore, the secondary energy cost of a factory cannot be reduced accurately. However, in this study, the loads of various tertiary energies are calculated according to the candidates of production scheduling and the optimal operational planning of an energy plant is determined using the tertiary energies. This can explicitly reduce the secondary energy cost of a factory. The proposed method was applied to ten jobs and machine JSPs each. Accordingly, it was verified that it can minimize the secondary energy cost and production time, simultaneously, and realize fast computation through parallel computation using IPRHPSO.

本誌: 電気学会論文誌D(産業応用部門誌) Vol.139 No.12 (2019)

本誌掲載ページ: 1005-1014 p

原稿種別: 論文/日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/139/12/139_1005/_article/-char/ja/

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