Developing Double Frontier Version of Dynamic Network DEA Model: Assessing Sustainability of Supply Chains

2020 ◽  
Vol 51 (3) ◽  
pp. 804-829 ◽  
Author(s):  
Tahmoures Samavati ◽  
Taliva Badiezadeh ◽  
Reza Farzipoor Saen
Keyword(s):  
Supply Chains ◽  
Dynamic Network ◽  
Network Dea ◽  
Dea Model

scholarly journals How to evaluate sustainability of supply chains? A dynamic network DEA approach

2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen
Keyword(s):  
Big Data ◽  
Supply Chains ◽  
Real World ◽  
Performance Optimization ◽  
Network Dynamic ◽  
Network Dea ◽  
Content Type ◽  
Dea Model ◽  
Proposed Model ◽  
First Time

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.

scholarly journals A dynamic network DEA model for accounting and financial indicators: A case of efficiency in MENA banking

2019 ◽  
Vol 61 ◽  
pp. 52-68 ◽  
Author(s):  
Peter Wanke ◽  
Md Abul Kalam Azad ◽  
Ali Emrouznejad ◽  
Jorge Antunes
Keyword(s):  
Dynamic Network ◽  
Financial Indicators ◽  
Network Dea ◽  
Dea Model

Conventional versus Islamic bank efficiency: A dynamic network data-envelopment-analysis approach

2020 ◽  
pp. 1-13
Author(s):  
Md Abul Kalam Azad ◽  
Muzalwana Binti Abdul Talib ◽  
Kwek Kian Teng ◽  
Paolo Saona
Keyword(s):  
Data Envelopment Analysis ◽  
Dynamic Network ◽  
Policy Implications ◽  
Network Data ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Network Dea ◽  
Dea Model ◽  
Network Data Envelopment Analysis ◽  
Conventional Banks

This study compares the efficiency of conventional and Islamic banks in Malaysia by engaging in a dynamic three-step (production, intermediation, and profitability) network data envelopment analysis (DEA). The inputs and outputs for the DEA model are selected based on the CAMELS rating. The major contributions of this study are threefold. First, this study investigates the efficiency of Malaysian banks using a novel dynamic network DEA model. Second, the Malaysian banking industry is found to be efficient in creating earning assets rather than in creating loans or profit. The results reveal that only a few banks in Malaysia have been efficient in converting deposits and equities into profit. Third, Islamic banks, in general, have been performing efficiently in the production and profitability approaches. Conventional banks, in contrast, are found to have been efficient in the intermediation approach. Policy implications are derived from the main conclusions.

THE DYNAMIC NETWORK DEA MODEL

2017 ◽  
pp. 74-84 ◽  
Author(s):  
Kaoru Tone ◽  
Miki Tsutsui
Keyword(s):  
Dynamic Network ◽  
Network Dea ◽  
Dea Model
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