Preventive maintenance scheduling: a simulation-optimization approach. Issue 1 (1st January 2021)

• Record Type: Journal Article
• Authors: Darmawan, Agus; Sheu, D. Daniel
• Is Part Of: Production & manufacturing research. Volume 9:Issue 1(2021)
• Page Start: 281
• Page End: 298
• Publication Date: 2021-01-01
• Subjects: Preventive maintenance -- time window -- genetic algorithm -- simulation -- re-entrant; Manufacturing processes -- Periodicals; Production engineering -- Research -- Periodicals; Manufacturing processes; Production engineering -- Research; Periodicals; 670
• DOI: 10.1080/21693277.2021.1978898
• Languages: English
• ISSNs: 2169-3277

Abstract

ABSTRACT: This paper presents a framework for preventive maintenance (PM) scheduling in the semiconductor industry. We propose an approach for finding PM's start time within a PM window to minimize production losses due to maintenance activities. In this study, we consider re-entrant process in which wafers will enter the same equipment location several times, but in different stages and sometimes different processes. Due to the optimization problem's complexity, we develop meta-heuristics such as a genetic algorithm and particle swarm optimization to solve it and compare with the resource leveling as well as the baseline. In the algorithm, we embed discrete event simulation to mimic a wafer fab process and get its performance. The proposed approach able to identify the best arrangement of PM's start time within a PM window and provides a way to optimize PM schedules for a complex system by simultaneously utilizing meta-heuristics and discrete event simulation.