A multi-objective programming method for solving network DEA

被引：31

作者：

Kao, Han-Ying ^{[1
]}

Chan, Chieh-Yu ^{[1
]}

Wu, Dong-Jyun ^{[1
]}

机构：

[1] Natl Dong Hwa Univ, Dept Comp Sci & Informat Engn, Shoufeng 97401, Hualien, Taiwan

来源：

APPLIED SOFT COMPUTING | 2014年 / 24卷

关键词：

Network DEA; Multi-objective programming; BCC; CCR; Divisional efficiency; Case studies; PARTICLE SWARM OPTIMIZATION; ENERGY; EFFICIENCY; MANAGEMENT; PLACEMENT; OPERATION; STRATEGY;

D O I：

10.1016/j.asoc.2014.06.057

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This study proposes the multi-objective programming (MOP) method for solving network DEA (NDEA) models. In the proposed method, the divisional efficiencies (within an organization) and the overall efficiency of the organization are formulated as separate objective functions in the multi-objective programming model. Compared with conventional DEA where the intermediate processes and products are ignored, this work measures the organization's overall efficiency without neglecting the efficiencies of its subunits. Two case studies demonstrate the proposed NDEA-MOP's utility in measuring the efficiencies of an organization with concerning interactive internal process. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：406 / 413

页数：8

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