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

• Kawaguchi Shuhei

  Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University

• Fukuyama Yoshikazu

  Department of Network Design, School of Interdisciplinary Mathematical Science, Meiji University

Bibliographic Information

Other Title

• 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
• カイリョウ キンボウ スケジュール セイセイホウ オ モチイタ カイリョウガタ ヘイレツ Reactive Hybrid Particle Swarm Optimization ニ ヨル サイテキ セイサン ケイカク ト エネルギープラント サイテキ ウンヨウ ケイカク ノ トウゴウ サイテキカ

Abstract

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.

Journal

• IEEJ Transactions on Industry Applications

  IEEJ Transactions on Industry Applications 139 (12), 1005-1014, 2019-12-01

  The Institute of Electrical Engineers of Japan

Keywords

• the secondary energy cost
• optimal operational planning of an energy plant
• job-shop scheduling problem
• meta-heuristic method

Details

• CRID: 1390564227352712576
• NII Article ID: 130007754675
• NII Book ID: AN10012320
• DOI: 10.1541/ieejias.139.1005
• ISSN: 13488163
• ISSN: 09136339
• NDL BIB ID: 030120833
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I030120833
• Web Site: https://www.jstage.jst.go.jp/article/ieejias/139/12/139_1005/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed