Optimization of bi-objective permutation flow shop scheduling with electricity cost consideration. Issue 1 (December 2020)

• Record Type: Journal Article
• Authors: Kurniawan, B; Fujimura, S
• Is Part Of: IOP conference series. Volume 909:Issue 1(2020)
• Publication Date: 2020-12
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/909/1/012045
• Languages: English
• ISSNs: 1757-8981

Abstract

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.