An improved MCDM DEA model for technology selection

被引：54

作者：

Amin, Gholam R. ^{[1
]}

Toloo, M.

Sohrabi, B.

机构：

[1] Islamic Azad Univ S Tehran Branch, Postgrad Engn Ctr, Tehran, Iran

[2] Islamic Azad Univ S Tehran Branch, Dept Math, Tehran, Iran

[3] Univ Tehran, Dept Informat Technol, Tehran, Iran

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2006年 / 44卷 / 13期

关键词：

advanced manufacturing technology; most efficient DMUs; DEA;

D O I：

10.1080/00207540500472754

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper presents an Improved MCDM Data Envelopment Analysis (DEA) model in order to evaluate the best efficient DMUs in Advanced Manufacturing Technology (AMT). This model is capable of ranking the next most efficient DMUs after removing the previous best one.

引用

页码：2681 / 2686

页数：6

共 4 条

[1] A polynomial-time algorithm for finding ε in DEA models [J].

Amin, GR ;

Toloo, M .

COMPUTERS & OPERATIONS RESEARCH, 2004, 31 (05) :803-805

[2] Evaluating and selecting investments in industrial robots [J].

Braglia, M ;

Petroni, A .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (18) :4157-4178

[3] Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection [J].

Karsak, EE ;

Ahiska, SS .

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (08) :1537-1554

[4] A cone-ratio DEA approach for AMT justification [J].

Talluri, S ;

Yoon, KP .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2000, 66 (02) :119-129

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