A novel bidirectional network data envelopment analysis model for evaluating sustainability of distributive supply chains of transport companies

被引：49

作者：

Fathi, Amirali ^{[1
]}

Saen, Reza Farzipoor ^{[2
]}

机构：

[1] Islamic Azad Univ, UAE Branch, Dept Business Management, Dubai, U Arab Emirates

[2] Islamic Azad Univ, Karaj Branch, Fac Management & Accounting, Dept Ind Management, POB 31485-313, Karaj, Iran

来源：

JOURNAL OF CLEANER PRODUCTION | 2018年 / 184卷

关键词：

Sustainable transportation; Sustainable supply chain management; Data envelopment analysis (DEA); Network DEA; Bidirectional connections; Backward connections; DECISION-MAKING UNITS; SUPER-EFFICIENCY DEA; OPTIMIZATION MODEL; CLOSEST TARGETS; MANAGEMENT; GREEN; INFEASIBILITY; FRAMEWORK; DESIGN; UNCERTAINTY;

D O I：

10.1016/j.jclepro.2018.02.256

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Applying a realistic and practical model to evaluate sustainable supply chains has been an intricate challenge for decision makers. All previous network data envelopment analysis (NDEA) models deal with unidirectional connections. In this paper, for the first time, we develop an NDEA model to deal with bidirectional connections. In addition, for the first time, bounded connections are taken into account. In bounded connections, certain bounds are set for each criterion. We assess sustainability of an Iranian transport company's branches. Our model can rank distributive supply chains and recommend improvement solutions. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：696 / 708

页数：13

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