TY - JOUR
T1 - How to evaluate sustainability of supply chains? A dynamic network DEA approach
AU - Kahi, Vahid Shokri
AU - Yousefi, Saeed
AU - Shabanpour, Hadi
AU - Saen, Reza Farzipoor
N1 - Publisher Copyright:
© Vahid Shokri Kahi, Saeed Yousefi, Hadi Shabanpour and Reza Farzipoor Saen. Published by Emerald Publishing Limited.
PY - 2017
Y1 - 2017
N2 - Purpose – The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach – A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings – This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications – In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications – The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value – For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.
AB - Purpose – The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach – A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings – This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications – In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications – The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value – For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.
KW - Data envelopment analysis
KW - Dynamic DEA
KW - Efficiency evaluation
KW - Food supply chain
KW - Network DEA
KW - Slacks-based measure
KW - Sustainable supply chain management
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U2 - 10.1108/IMDS-09-2016-0389
DO - 10.1108/IMDS-09-2016-0389
M3 - Article
AN - SCOPUS:85031280993
SN - 0263-5577
VL - 117
SP - 1866
EP - 1889
JO - Industrial Management and Data Systems
JF - Industrial Management and Data Systems
IS - 9
ER -