改良整数型Adaptive Population-Based Incremental Learningと生産シミュレータによる工場需給連携最適化フレームワーク

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: 2023/11/01

タイトル(英語): Integrated Supply and Demand Optimization Framework in Factories using an Improved Integer form of Adaptive Population-Based Incremental Learning and a Production Simulator

著者名: 川口　嵩平（三菱電機（株）情報技術総合研究所），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 (Information Technology R&D Center, Mitsubishi Electric Co.), Yoshikazu Fukuyama (Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University)

キーワード: 工場需給連携，エネルギープラント運用計画最適化，生産計画最適化，改良整数型Adaptive Population-Based Incremental Learning，並列処理型シミュレータ　　factory supply and demand coordination，optimization of operational planning of an energy plant，optimization of production scheduling，Improved Integer form of

要約(英語): This paper proposes a cooperation framework of the optimal operational planning of an energy plant and optimal production scheduling in factories using an improved integer form of adaptive population-based incremental learning (IIAPBIL) and a production simulator. Traditionally, the optimal operation planning of energy plants has been solved using various tertiary energy fixed loads. In addition, for production lines, researches have recently been conducted to optimize production planning considering energy consumption reduction in addition to minimizing production time. However, the research scope has been restricted to the demand side. Therefore, it was not possible to accurately reduce the secondary energy costs of a factory. In this paper, using the production simulator and the proposed optimization method, the tertiary energy load for each candidate production plan is calculated. Subsequently, the optimal operation plan for the energy plant using the tertiary energy is determined and the total costs of the entire supply and demand operation are calculated and evaluated. Therefore, the secondary energy cost of the plant can be explicitly reduced. The proposed IIAPBIL and the conventional integer form of APBIL (IAPBIL) are applied to a production cost minimization problem of an assembly line and an energy plant, respectively. As a result, it is confirmed that both demand-side and supply-side costs can be minimized simultaneously, and the best quality solution can be obtained using the proposed IIAPBIL. Moreover, high-speed computation can be achieved using the parallel and distributed processing simulator.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.143 No.11 （2023）

本誌掲載ページ: 728-741 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/143/11/143_728/_article/-char/ja/