학술논문
Optimizing Work-In-Process Parameter using Genetic Algorithm
이용수 62
- 영문명
- 발행기관
- 한국산업경영시스템학회
- 저자명
- Jungseop Kim(김정섭) Jiyong Jeong(정지용) Jonghwan Lee(이종환)
- 간행물 정보
- 『산업경영시스템학회지』제40권 제1호, 79~86쪽, 전체 8쪽
- 주제분류
- 경제경영 > 경영학
- 파일형태
- 발행일자
- 2017.03.30
4,000원
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국문 초록
영문 초록
This research focused on deciding optimal manufacturing WIP (Work-In-Process) limit for a small production system. Reducing WIP leads to stable capacity, better manufacturing flow and decrease inventory. WIP is the one of the important issue, since it can affect manufacturing area, like productivity and line efficiency and bottlenecks in manufacturing process. Several approaches implemented in this research. First, two strategies applied to decide WIP limit. One is roulette wheel selection and the other one is elite strategy. Second, for each strategy, JIT (Just In Time), CONWIP (Constant WIP), Gated Max WIP System and CWIPL(Critical WIP Loops) system applied to find a best material flow mechanism. Therefore, pull control system is preferred to control production line efficiently. In the production line, the WIP limit has been decided based on mathematical models or expert’s
decision. However, due to the complexity of the process or increase of the variables, it is difficult to obtain optimal WIP limit.
To obtain an optimal WIP limit, GA applied in each material control system. When evaluating the performance of the result, fitness function is used by reflecting WIP parameter. Elite strategy showed better performance than roulette wheel selection when evaluating fitness value. Elite strategy reach to the optimal WIP limit faster than roulette wheel selection and generation time is short. For this reason, this study proposes a fast and reliable method for determining the WIP level by applying genetic algorithm to pull system based production process. This research showed that this method could be applied to a more complex production system.
목차
1. 연구배경 및 방법
2. 생산 시스템
3. 유전 알고리즘
4. Simulation Model 개발
5. 실험 및 결과분석
6. 결론 및 향후 과제
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