Developing a new chance constrained NDEA model to measure performance of sustainable supply chains

Owing to the increasing importance of sustainable supply chain management (SSCM), it has received much attention from both corporate and academic over the past decade. SSCM performance evaluation plays a crucial role in organizations success. One of the practical techniques that can be used for SSCM performance assessment is network data envelopment analysis (NDEA). This paper develops a new NDEA for performance evaluation of SSCM in the presence of stochastic data. The proposed model can evaluate the efficiency of SSCM under uncertain conditions. A case study in the soft drinks industry is presented to demonstrate the efficacy of the proposed method.

Automated summary

This paper introduces a practical technique, network data envelopment analysis (NDEA), for assessing the performance of sustainable supply chain management (SSCM). A new NDEA model is proposed to evaluate the efficiency of SSCM under uncertain conditions. The efficacy of the proposed method is demonstrated through a case study in the soft drinks industry.