원문정보
보안공학연구지원센터(IJFGCN)
International Journal of Future Generation Communication and Networking
Vol.9 No.6
2016.06
pp.201-210
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Machine selection is an important step in the process of manufacturing. The selection process needs to consider some selection attributes simultaneously from a set of candidate machines. The attribute weights are important for the result of machine selection problem, but the most used AHP method has the shortcoming. Thus this paper will develop a new weighting method based on the concept of group eigenvalue method. Then the new machine selection method is proposed by combining group eigenvalue method with TOPSIS method. Two practical examples demonstrate that the proposed method has more effectiveness and feasibility.
목차
Abstract
1. Introduction
2. Group Eigenvalue Method
3. New Machine Selection Method
4. Case Study
5. Conclusion
Acknowledgments
References
1. Introduction
2. Group Eigenvalue Method
3. New Machine Selection Method
4. Case Study
5. Conclusion
Acknowledgments
References
저자정보
참고문헌
자료제공 : 네이버학술정보
