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(주)코리아스칼라
- 최초 등록일
- 2016.04.02
- 최종 저작일
- 2002.06
- 19페이지/ 어도비 PDF
- 가격 5,400원
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서지정보
ㆍ발행기관 : 대한안전경영과학회
ㆍ수록지정보 : 대한안전경영과학회지 / 4권 / 2호
ㆍ저자명 : 이내형, 조남호
영어 초록
In this thesis presents line balancing problems of two-sided and mixed model assembly line widely used in practical fields using genetic algorithm for reducing throughput time, cost of tools and fixtures and improving flexibility of assembly lines. Two-sided and mixed model assembly line is a special type of production line where variety of product similar in product characteristics are assembled in both sides. This thesis proposes the genetic algorithm adequate to each step in tow-sided and mixed model assembly line with suitable presentation, individual, evaluation function, selection and genetic parameter. To confirm proposed genetic algorithm, we apply to increase the number of tasks in case study. And for evaluation the performance of proposed genetic algorithm, we compare to existing algorithm of one-sided and mixed model assembly line. The results show that the algorithm is outstanding in the problems with a larger number of stations or larger number of tasks.
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