Optimization of bi-objective permutation flow shop scheduling with electricity cost consideration

B. Kurniawan, S. Fujimura

Research output: Contribution to journalConference articlepeer-review

Abstract

Increasing energy demand can create undesired problems for many governments worldwide. Several policies, such as time-of-use (TOU) tariffs, have been put in place to overcome such demand. The TOU policy's objective is to reduce electrical load during peak periods by shifting the use to off-peak periods. To that end, this paper addresses the bi-objective permutation flow-shop scheduling, minimizing total weighted tardiness and electricity costs. We propose a meta-heuristic algorithm based on SPEA2 to solve the problem. We conducted numerical experiments to evaluate the efficacy of the proposed algorithm by comparing it with NSGA-II. The results show that the proposed approach was more efficient compare with NSGA-II.

Original languageEnglish
Article number012045
JournalIOP Conference Series: Materials Science and Engineering
Volume909
Issue number1
DOIs
Publication statusPublished - 2020 Dec 21
Event2020 International Conference on Advanced Mechanical and Industrial Engineering, ICAMIE 2020 - Cilegon City, Banten, Indonesia
Duration: 2020 Jul 82020 Jul 8

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

Fingerprint Dive into the research topics of 'Optimization of bi-objective permutation flow shop scheduling with electricity cost consideration'. Together they form a unique fingerprint.

Cite this