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

Mohammad Izadikhah, Elnaz Azadi, Majid Azadi, Reza Farzipoor Saen*, Mehdi Toloo

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

10 اقتباسات (Scopus)


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.

اللغة الأصليةEnglish
الصفحات (من إلى)1319-1347
عدد الصفحات29
دوريةAnnals of Operations Research
مستوى الصوت316
رقم الإصدار2
المعرِّفات الرقمية للأشياء
حالة النشرPublished - سبتمبر 2022

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