A genetic algorithm for unrelated parallel machine scheduling minimizing makespan cost and electricity cost under time-of-use (TOU) tariffs with job delay mechanism

B. Kurniawan, A. A. Gozali, W. Weng, Shigeru Fujimura

研究成果: Conference contribution

2 引用 (Scopus)

抜粋

Unrelated parallel machine scheduling under time-of-use electricity price is addressed in this paper. In this setting, price of electricity can be different among various periods of the day. The objective is to minimize total cost consisting of makespan cost and electricity cost. Genetic algorithm (GA) is used to solve the unrelated parallel machine scheduling under time varying tariffs. Chromosome decoding, inspired by greedy total cost, is proposed to transform individual into feasible schedule. Furthermore, generated schedule from the individual is improved by job delay mechanism that shifts jobs to other periods to avoid high electricity cost. Finally, numerical experiment is conducted to implement the approach. Preliminary result shows that our proposed approach is effective and efficient to solve the corresponding problem.

元の言語English
ホスト出版物のタイトル2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
出版者IEEE Computer Society
ページ583-587
ページ数5
2017-December
ISBN(電子版)9781538609484
DOI
出版物ステータスPublished - 2018 2 9
イベント2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
継続期間: 2017 12 102017 12 13

Other

Other2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Singapore
Singapore
期間17/12/1017/12/13

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

フィンガープリント A genetic algorithm for unrelated parallel machine scheduling minimizing makespan cost and electricity cost under time-of-use (TOU) tariffs with job delay mechanism' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Kurniawan, B., Gozali, A. A., Weng, W., & Fujimura, S. (2018). A genetic algorithm for unrelated parallel machine scheduling minimizing makespan cost and electricity cost under time-of-use (TOU) tariffs with job delay mechanism. : 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 (巻 2017-December, pp. 583-587). IEEE Computer Society. https://doi.org/10.1109/IEEM.2017.8289958