한국해양대학교

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Hybrid GA를 이용한 블록단위의 최적설비배치에 관한 연구

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dc.contributor.author 李容煜著 -
dc.date.accessioned 2017-02-22T02:22:10Z -
dc.date.available 2017-02-22T02:22:10Z -
dc.date.issued 2001 -
dc.date.submitted 2005-10-19 -
dc.identifier.uri http://kmou.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002173751 ko_KR
dc.identifier.uri http://repository.kmou.ac.kr/handle/2014.oak/8286 -
dc.description.abstract Facility layout is the early stage of system design that requires a mid-term or long-term plan. Since improper facility layout might incur substantial logistics cost including material handling and re-installment costs, due consideration must be given to decisions on facility layout. Facility layout is concerned with how to arrange equipment necessary for production in a given space. Its objective is to minimize the sum of all the products of each equipment's amount of flow multiplied by distance. Facility layout also is related to the issue of NP-complete, i.e., calculated amounts exponentially increase with the increase of the number of equipment. This study discusses Hybrid GA developed, as an algorithm for facility layout, to solve the above-mentioned problems. The Algorithm, which is designed to efficiently place equipment, automatically produces a horizontal passageway by the block, if a designer provides the width and length of the space to be handled. In addition, this study demonstrates the validity of the Algorithm by comparing with existing algorithms that have been developed. We present a hybrid GA approach to the facility layout problem that improves on existing work in terms of solution quality and method. Experimental results show that the proposed algorithm is able to produce better solution quality and more practical layouts than the ones obtained by applying existing algorithms. -
dc.description.tableofcontents 1. 서론 = 1 1.1 연구배경 및 목적 = 1 1.2 기존 연구 고찰 = 2 1.3 연구 내용 및 구성 = 4 2. 설비배치문제 = 5 2.1 설비배치문제의 정의 = 5 2.2 설비배치의 형태 = 7 3. 설비배치 알고리즘의 개발 = 11 3.1 조합최적화문제를 위한 해법 = 11 3.2 설비배치 알고리즘 = 13 3.3 설비배치문제의 유전자 알고리즘(Genetic Algorithm) = 15 3.3.1 초기해 생성 = 17 3.3.2 적합도 평가함수 = 18 3.3.3 유전연산자 = 18 3.3.4 유전자 알고리즘의 종료조건 = 23 3.4 설비배치문제의 시뮬레이티드 어닐링(Simulated Annealing) = 24 3.3.1 초기온도 (T) 설정 = 26 3.3.2 이웃해 생성(Perturbation) = 26 3.3.3 내부루프의 종료조건 = 27 3.3.4 시뮬레이티드 어닐링의 종료조건 = 27 3.5 설비배치문제의 Hybrid GA 적용 단계 = 28 3.5.1 유전자 알고리즘(GA)의 과정 = 28 3.5.2 시뮬레이티드 어닐링(SA)의 과정 = 29 4. 실험 및 평가 = 31 4.1 Parameter 설정 = 31 4.1.1 실험을 통한 GA의 Parameter 설정 = 31 4.1.2 실험을 통한 SA의 Parameter 설정 = 32 4.2 실험결과분석 = 33 5. 결론 = 44 참고문헌 = 46 부록 = 49 -
dc.publisher 한국해양대학교 대학원 -
dc.title Hybrid GA를 이용한 블록단위의 최적설비배치에 관한 연구 -
dc.title.alternative A Study on Optimal Facility Layout of Block Facility using Hybrid GA -
dc.type Thesis -
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