Efficiency Evaluation for Supply Chains Using Maximin Decision Support

被引：21

作者：

Wu, Desheng Dash ^{[1
]}

Luo, Cuicui ^{[1
]}

Olson, David L. ^{[2
]}

机构：

[1] Univ Toronto, RiskLab, Toronto, ON M5S 2E4, Canada

[2] Univ Nebraska, Kearney, NE 68508 USA

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2014年 / 44卷 / 08期

关键词：

Data envelopment analysis (DEA); efficiency; maximin criteria; supply chain; DATA ENVELOPMENT ANALYSIS; SELECTION; MODEL; DEA; STRATEGIES; MANAGEMENT; RISK;

D O I：

10.1109/TSMC.2013.2291215

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The outputs of upstream individual processes (members) become the inputs of downstream members in supply chains. When multiple inputs and outputs are present, data envelopment analysis has been widely applied to assess efficiency. In cooperative groups, such as supply chains, a maximin decision approach can reflect not only overall system efficiency, but also efficiency of system elements. This paper discusses a maximin efficiency multistage supply chain model capable of measuring supply chain members performance as well as overall supply chain performance.

引用

页码：1088 / 1097

页数：10

共 41 条

[1]

[Anonymous], 6 OECD CEFTA

[2]

[Anonymous], INT J PROD RES

[3]

[Anonymous], PROD OPER MANA UNPUB

[4]

[Anonymous], ANN OPER RES