유전 알고리즘과 시뮬레이션을 통한 동적 스케줄링A Genetic Algorithm and Discrete-Event Simulation Approach to the Dynamic Scheduling
- Other Titles
- A Genetic Algorithm and Discrete-Event Simulation Approach to the Dynamic Scheduling
- Authors
- 윤상한; 이종환; 정관영; 이현수; 위도영; 정지용; 서영복
- Issue Date
- 2013
- Publisher
- 한국산업경영시스템학회
- Keywords
- Dynamic Scheduling; Genetic Algorithm; Discrete-event Simulation
- Citation
- 한국산업경영시스템학회지, v.36, no.4, pp.116 - 122
- Journal Title
- 한국산업경영시스템학회지
- Volume
- 36
- Number
- 4
- Start Page
- 116
- End Page
- 122
- URI
- https://scholarworks.bwise.kr/kumoh/handle/2020.sw.kumoh/2182
- ISSN
- 2005-0461
- Abstract
- This study develops a dynamic scheduling model for parallel machine scheduling problem based on genetic algorithm (GA).
GA combined with discrete event simulation to minimize the makespan and verifies the effectiveness of the developed model.
This research consists of two stages. In the first stage, work sequence will be generated using GA, and the second stage developedwork schedule applied to a real work area to verify that it could be executed in real work environment and remove the overlappingwork, which causes bottleneck and long lead time. If not, go back to the first stage and develop another schedule until satisfied.
Small size problem was experimented and suggested a reasonable schedule within limited resources. As a result of this research,work efficiency is increased, cycle time is decreased, and due date is satisfied within existed resources.
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