지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.20 No.4
- 발행연도
- 2021.12
- 수록면
- 621 - 628 (8page)
- DOI
- 10.7232/iems.2021.20.4.621
이용수
초록· 키워드
오류제보하기
The purpose of tolerance design is to determine the limits for the parameters in such a way as to minimize the design error. Determining the optimal tolerance for pipe production devices and connections reduce waste, increase customer satisfaction, reduce rework costs and increase the satisfaction of installers. Due to the high cost of production and quality in the respective companies, and customer dissatisfaction due to loose pipes in the connection, in this paper, an integrated model to reduce production costs and quality is provided. Based on this, using the multi-year data of the company, the experience of senior managers and SPSST software, a suitable regression model for pipe and connection production has been extracted. The proposed model is obtained by genetic algorithm in MATLAB software coding software and the optimal amount of effective parameters for pipe and connection production is obtained. The proposed model saves 5.8% and for the first company 13.06% for the second company.
목차
ABSTRACT
1. INTRODUCTION
2. RESEARCH BACKGROUND
3. METHOD
4. PROPOSED MODEL
5. METAHEURISTIC GENETIC ALGORITHM
6. NUMERICAL RESULTS
7. CONCLUSION
REFERENCES
참고문헌 (17)
참고문헌 신청
Afshar, A. / 2007 / Multiobjective optimization of time-cost-quality using multi-colony ant algorithm / Asian Journal of Civil Engineering(Building And Housing) 8(2):113~124
Bramerdorfer, G. / 2019 / Tolerance analysis for electric machine design optimization : Classification, modeling and evaluation, and example / IEEE Transactions on Magnetics 55(8):1~9
Colosimo, B. M. / 2010 / Geometric Tolerances / Springer-Verlag
Derakhshan, S. / 2013 / Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm / Computers & Fluids 81:145~151
정영선 / 2017 / Semiconductor Wafer Defect Classification Using Support Vector Machine with Weighted Dynamic Time Warping Kernel Function / Industrial Engineering & Management Systems 16(3):420~426
Bramerdorfer, G. / 2019 / Tolerance analysis for electric machine design optimization : Classification, modeling and evaluation, and example / IEEE Transactions on Magnetics 55(8):1~9
Colosimo, B. M. / 2010 / Geometric Tolerances / Springer-Verlag
Derakhshan, S. / 2013 / Numerical shape optimization of a centrifugal pump impeller using artificial bee colony algorithm / Computers & Fluids 81:145~151
정영선 / 2017 / Semiconductor Wafer Defect Classification Using Support Vector Machine with Weighted Dynamic Time Warping Kernel Function / Industrial Engineering & Management Systems 16(3):420~426
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