Assessing sustainability of supply chains by double frontier network DEA: A big data approach

作者：Badiezadeh Taliva; Saen Reza Farzipoor^*; Samavati Tahmoures

来源：Computers & Operations Research, 2018, 98: 284-290.

DOI：10.1016/j.cor.2017.06.003

• Sustainable supply chain management (SSCM)
• Big Data
• Network data envelopment analysis (NDEA)
• Data envelopment analysis (DEA)
• Double frontier
• Undesirable outputs

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.

• 出版日期2018-10