Assessing sustainability of supply chains: An inverse network dynamic DEA model

被引：81
|
作者：
Kalantary, Majid [1 ]
Saen, Reza Farzipoor [2 ]
机构：
[1] Islamic Azad Univ, Dept Ind Management, Sci & Res Branch, Tehran, Iran
[2] Islamic Azad Univ, Dept Ind Management, Karaj Branch, Karaj, Iran
来源：
COMPUTERS & INDUSTRIAL ENGINEERING | 2019年 / 135卷
关键词：
Sustainability; Supply chain management; Network data envelopment analysis; Dynamic data envelopment analysis; Inverse data envelopment analysis; DATA ENVELOPMENT ANALYSIS; SLACKS-BASED MEASURE; CONSUMER ENVIRONMENTAL AWARENESS; ENERGY EFFICIENCY STANDARDS; MANAGEMENT; SELECTION; IMPROVEMENT; DESIGN;
D O I：
10.1016/j.cie.2018.11.009
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA). DEA is a popular and beneficial method to assess efficiency of decision making units (DMUs). We introduce a network dynamic DEA model to assess sustainability of supply chains in multiple periods. Furthermore, we introduce an inverse network DEA model in dynamic context. Given results of case study, sustainable supply chains invest on triple bottom-lines of sustainability.
引用
收藏
页码：1224 / 1238
页数：15
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