earticle

논문검색

A Novel Machine Selection Method Combining Group Eigenvalue Method with TOPSIS Method

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

저자정보

  • 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

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.