A hybrid goal programming and dynamic data envelopment analysis framework for sustainable supplier evaluation

Madjid Tavana*, Hadi Shabanpour, Saeed Yousefi, Reza Farzipoor Saen

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

33 اقتباسات (Scopus)


The evaluation of sustainable suppliers is one of the most complex tasks in sustainable supply chain management (SSCM). Classical data envelopment analysis (DEA) and dynamic DEA (DDEA) models are heavily dependent on historical data and do not forecast future efficiencies of decision-making units (DMUs). The primary objective of this paper is to present a new predictive paradigm for ranking sustainable suppliers in SSCM. The proposed model combines goal programming and DDEA in an integrated and seamless paradigm to determine the future efficiencies of DMUs (suppliers). It also shifts the decision maker’s role from monitoring the past to planning the future. A case study is presented to demonstrate the applicability of the proposed model and exhibit the efficacy of the procedures and algorithms.

اللغة الأصليةEnglish
الصفحات (من إلى)3683-3696
عدد الصفحات14
دوريةNeural Computing and Applications
مستوى الصوت28
رقم الإصدار12
المعرِّفات الرقمية للأشياء
حالة النشرPublished - ديسمبر 1 2017

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