Developing a nondiscretionary slacks-based measure model for supplier selection in the presence of stochastic data

Majid Azadi, Reza Farzipoor Saen*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

9 اقتباسات (Scopus)

ملخص

Supplier selection has a strategic importance for every company. Nondiscretionary Slacks-based Measure (SBM) model is one of the models in Data Envelopment Analysis (DEA). In many real world applications, data are often stochastic. A successful approach to the address uncertainty in data is to replace deterministic data via random variables, leading to Chance-con strained DEA (CCDEA). In this study, the concept of chance-constrained programming approach is used to develop nondiscretionary SBM model in the presence of stochastic data and also its deterministic equivalent which is a nonlinear program is derived. Furthermore, it is shown that the deterministic equivalent of the stochastic nondiscretionary SBM model can be converted into a quadratic program. Finally, a numerical example demonstrates the application of the proposed model.

اللغة الأصليةEnglish
الصفحات (من إلى)103-120
عدد الصفحات18
دوريةResearch Journal of Business Management
مستوى الصوت6
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - 2012

ASJC Scopus subject areas

  • ???subjectarea.asjc.1400.1403???
  • ???subjectarea.asjc.1400.1408???
  • ???subjectarea.asjc.1400.1407???
  • ???subjectarea.asjc.1400.1405???

قم بذكر هذا