로트 스트리밍 흐름공정 일정계획의 스트레치 최소화
(주)코리아스칼라
- 최초 등록일
- 2017.01.04
- 최종 저작일
- 2014.12
- 6페이지/ 어도비 PDF
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서지정보
ㆍ발행기관 : 한국산업경영시스템학회
ㆍ수록지정보 : 산업경영시스템학회지 / 37권 / 4호
ㆍ저자명 : Suk-Hun Yoon
목차
1. Introduction
2. Literature Review
3. Minimization of the total stretch inthe n-job, m-machine Flow Shop
4. New Genetic Algorithm(NGA)
5. Computational Study
6. Conclusions
References
영어 초록
Lot-streaming is the process of splitting a job (lot) into sublots to allow the overlapping of operations between successive machines in a multi-stage production system. A new genetic algorithm (NGA) is proposed for an n-job, m-machine, lot-streaming flow shop scheduling problem with equal-size sublots in which the objective is to minimize the total stretch. The stretch of a job is the ratio of the amount of time the job spent before its completion to its processing time. NGA replaces the selection and mating operators of genetic algorithms (GAs) by marriage and pregnancy operators and incorporates the idea of inter- chromosomal dominance and individuals’ similarities. Extensive computational experiments for medium to large-scale lot-streaming flow-shop scheduling problems have been conducted to compare the performance of NGA with that of GA.
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