PCB 삽입 경로 및 부품함 위치 배정 연구|RISS 상세보기

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닫기

PCB 삽입 경로 및 부품함 위치 배정 연구 = A Study of Inserting Sequence and Feeder Allocation Problem on Printed Circuit Board

한글로보기

https://www.riss.kr/link?id=A30080287

저자

이상복 (서경대학교 산업공학과) ; 강석호 (서울대학교 산업공학과)
발행기관
한국경영과학회
학술지명
한국경영과학회지(Journal of the Korean Operations Research and Management Science Society)
권호사항

Vol.19 No.1 [1994]
발행연도
1994
작성언어
Korean
KDC
325.000
등재정보
KCI등재
자료형태
학술저널
발행기관 URL
http://www.korms.or.kr
수록면

1-16(16쪽)
제공처
ScienceON, DBpia
소장기관
- 영남대학교 중앙도서관
- 호서대학교(아산) 학술지원과

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다국어 초록 (Multilingual Abstract)

In this paper, we try to raise the efficiency of PCB production by improving automated inserting process. This process is composed of part inserting sequence and feeder allocation problem. Until now, this problem is formulated by Traveling Salesman Problem(TSP) or Rural Postman Problem. They concetrated more on parts(chips) inserting. But in this paper, we concentrate on Feeder. We formulate 0-1 Integer program(MP2) easier than TSP. This program can be solved by using LP Package(i.e. LINDO, GAMS etc). We propose Heuristic algorithm ISFA which guarantees a local optimum and often gives optimal solution. We give some examples to prove ISFA algorithm.

번역하기

In this paper, we try to raise the efficiency of PCB production by improving automated inserting process. This process is composed of part inserting sequence and feeder allocation problem. Until now, this problem is formulated by Traveling Salesman Pr...

In this paper, we try to raise the efficiency of PCB production by improving automated inserting process. This process is composed of part inserting sequence and feeder allocation problem. Until now, this problem is formulated by Traveling Salesman Problem(TSP) or Rural Postman Problem. They concetrated more on parts(chips) inserting. But in this paper, we concentrate on Feeder. We formulate 0-1 Integer program(MP2) easier than TSP. This program can be solved by using LP Package(i.e. LINDO, GAMS etc). We propose Heuristic algorithm ISFA which guarantees a local optimum and often gives optimal solution. We give some examples to prove ISFA algorithm.