Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6892556 | Computers & Operations Research | 2018 | 25 Pages |
Abstract
Nowadays, performance evaluation of sustainable supply chain management (SSCM) is a very important topic for researchers and practitioners. Data envelopment analysis (DEA) is an appropriate method for assessing performance of SSCM in presence of Big Data. Network DEA (NDEA) can calculate efficiency of multi-stage processes. In this paper, an NDEA model for calculating optimistic and pessimistic efficiency is developed. Our proposed model can incorporate undesirable outputs. Also, our model can rank supply chains in terms of efficiency scores. A case study demonstrates efficacy of our proposed model.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Taliva Badiezadeh, Reza Farzipoor Saen, Tahmoures Samavati,