Earticle

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

키워드

저자

• Tonghua Yang [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330032, China, School of Vocation Teachers, Jiangxi Agricultural University, Nanchang, 330045, China ]
• Shenghua Xu [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330032, China ]
• Neal N. Xiong [ School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, 330032, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605