Recommending investment opportunities given congestion by adaptive network data envelopment analysis model: Assessing sustainability of supply chains

被引：8
|
作者：
Hajaji, Hossein [1 ]
Yousefi, Sara [2 ]
Farzipoor Saen, Reza [3 ]
Hassanzadeh, Amir [2 ]
机构：
[1] Islamic Azad Univ, Dept Operat Res, Fac Management & Accounting, Cent Tehran Branch, Tehran, Iran
[2] Islamic Azad Univ, Young Researchers & Elite Club, Karaj Branch, Karaj, Iran
[3] Sohar Univ, Fac Business, Sohar, Oman
来源：
RAIRO-OPERATIONS RESEARCH | 2021年 / 55卷
关键词：
Network data envelopment analysis (NDEA); congestion; Sustainable supply chain management (SSCM); Range-adjusted measure (RAM); sustainable investment; undesirable outputs;
D O I：
10.1051/ro/2019059
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
Nowadays, forward-thinking companies move beyond conventional structures of organizations and consider all parties of the supply chain. The objective of this paper is to present an adaptive network data envelopment analysis (DEA) model to evaluate overall and divisional efficiency of sustainable supply chains in the presence of desirable and undesirable outputs. Our adaptive network DEA model can assess overall and divisional efficiency of supply chains given managerial and natural disposability. Also, it suggests new investment opportunity given congestion type. A case study is presented.
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页码：S21 / S49
页数：29
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