Darmawan, Agus and Sheu, D. Daniel (2021) Preventive maintenance scheduling: a simulation-optimization approach. PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 9 (1). pp. 281-298.
Full text not available from this repository. (Request a copy)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.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | Preventive maintenance; time window; genetic algorithm; simulation; re-entrant |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 19 Oct 2024 06:36 |
Last Modified: | 19 Oct 2024 06:36 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/9201 |