http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
퍼지모수들과 퍼지항등목표들을 가지는 다목적 비선형 의사결정
윤연근,남현우,이상완 한국산업경영시스템학회 1997 한국산업경영시스템학회지 Vol.20 No.41
In this paper, we presents the method for finding the compensatory solution for fuzzy multiobjective nonlinear programming problem with fuzzy parameters involved in the problem-formulation process and fuzzy equal goals of the decision maker for each of the objective functions. The fuzzy parameters in the objective functions and the constraints characterized by fuzzy numbers. The proposed method can be applied to case with multiobjective problems and guarantee an efficient solution. An illustrative numerical example is presented.
혼합유전알고리즘을 이용한 플로샵 일정계획 문제에 관한 연구
김호섭,윤연근,남현우,최규탁 대한설비관리학회 1999 대한설비관리학회지 Vol.4 No.3
The optimal method is used to get optimal solution in engineering design including scheduling problems. This study is to get rid of the inconvenience and produce initial solution as insertion method in order to promote effectiveness of search and describe the way that mixes genetic algorithm which has been studying to improve this initial solution. Heuristics based on hybrid genetic algorithm can be expanded easily to solve flow shop problems in proving NP-hard problems using a different criterion like total flow time, maximum tardiness and total tardiness and moreover, applied to job shop scheduling problems which are more general and complex than flow shop.
김해식,윤연근,남현우,이상완 한국산업경영시스템학회 1999 한국산업경영시스템학회지 Vol.22 No.50
Cellular manufacturing(CM) is a manufacturing philosophy and strategy for improving both productivity and flexibility. Cell formation(CF), the first and key problem faced in designing an effective CM system, is a process whereby parts with similar design features or processing requirements are grouped into part families, and the corresponding machines into machine cells. In this paper, a sophisticated fuzzy mixed-integer programming model is proposed to simultaneously form manufacturing cells and minimize the total costs of dealing with exceptional elements. Also, we will proposed a new method to solve the cell formation problem in the fuzzy environment.
퍼지 환경하에서 유연생산시스템 일정계획의 Pairwise 해법에 관한 연구
이상완,신대혁,윤연근,박병주 동아대학교 공과대학부설 생산기술연구소 1996 生産技術硏究所硏究論文集 Vol.1 No.2
FMS(Flexible Manufacturing System) scheduling problem is a complex system and a NP-hard problem. Thus it is natural to look for heuristic method. Here, we consider the multi-part production scheduling problem in a FMS scheduring of altemative routings. The problem in more complex if the processing time is imprecision. It requires suitable method to deal with imprecision. Fuzzy set theory can be useful in modeling and solving scheduling problems with uncertain processing times. Lee-Ki fuzzy number comparison method will be used to compare processing times that evaluated under fuzziness. This study propose heuristic algorithm solving FMS scheduling problem under fuzzy environment. In this algorithm, the pairwise comparision method is used to find proper alternative routing. On the basis of the proposed method, and example in presented.