소프트 제약을 포함하는 조립라인 밸런싱 문제 최적화
(주)코리아스칼라
- 최초 등록일
- 2023.04.05
- 최종 저작일
- 2018.06
- 12페이지/ 어도비 PDF
- 가격 4,300원
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서지정보
ㆍ발행기관 : 한국산업경영시스템학회
ㆍ수록지정보 : 산업경영시스템학회지 / 41권 / 2호
ㆍ저자명 : 최성훈, 이근철
목차
1. 서 론
2. 소프트 할당제약 혼합정수계획 모델
2.1 요소작업-요소작업 할당제약
2.2 요소작업-작업장 할당제약
2.3 소프트 할당제약 혼합정수계획 모델
3. 소프트 할당제약 GALB 문제를 위한 GA
4. 성능평가 실험
4.1 예비 실험
4.2 본 실험
5. 결 론
References
영어 초록
In this study, we consider the assembly line balancing (ALB) problem which is known as an very important decision dealing with the optimal design of assembly lines. We consider ALB problems with soft constraints which are expected to be fulfilled, however they are not necessarily to be satisfied always and they are difficult to be presented in exact quantitative forms. In previous studies, most researches have dealt with hard constraints which should be satisfied at all time in ALB problems. In this study, we modify the mixed integer programming model of the problem introduced in the existing study where the problem was first considered. Based on the modified model, we propose a new algorithm using the genetic algorithm (GA). In the algorithm, new features like, a mixed initial population selection method composed of the random selection method and the elite solutions of the simple ALB problem, a fitness evaluation method based on achievement ratio are applied. In addition, we select the genetic operators and parameters which are appropriate for the soft assignment constraints through the preliminary tests. From the results of the computational experiments, it is shown that the proposed algorithm generated the solutions with the high achievement ratio of the soft constraints.
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