Abstract
Data envelopment analysis (DEA) is one of the techniques for assessing sustainability of supply chains. There have been raising interests in incorporating sustainability in supply chain operations. The objective of this article is to develop a dynamic network DEA (DNDEA) model for calculating both optimistic and pessimistic efficiency and effectiveness. Also, our proposed model can deal with undesirable outputs. Our model can rank sustainable supply chains in terms of optimistic and pessimistic efficiency and effectiveness. A case study demonstrates efficacy of our proposed model.
Original language | English |
---|---|
Pages (from-to) | 804-829 |
Number of pages | 26 |
Journal | Decision Sciences |
Volume | 51 |
Issue number | 3 |
DOIs | |
Publication status | Published - Jun 1 2020 |
Keywords
- Double Frontier
- Dynamic Data Envelopment Analysis
- Efficiency and Effectiveness
- Network Data Envelopment Analysis (NDEA)
- Sustainable Supply Chain Management
- Undesirable Outputs
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Strategy and Management
- Information Systems and Management
- Management of Technology and Innovation