Selecting and full ranking suppliers with imprecise data: A new DEA method

Mehdi Toloo*

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

53 اقتباسات (Scopus)


Supplier selection, a multi-criteria decision making (MCDM) problem, is one of the most important strategic issues in supply chain management (SCM). A good solution to this problem significantly contributes to the overall supply chain performance. This paper proposes a new integrated mixed integer programming ‐ data envelopment analysis (MIP‐DEA) model for finding the most efficient suppliers in the presence of imprecise data. Using this model, a new method for full ranking of units is introduced. This method tackles some drawbacks of the previous methods and is computationally more efficient. The applicability of the proposed model is illustrated, and the results and performance are compared with the previous studies.

اللغة الأصليةEnglish
الصفحات (من إلى)1141-1148
عدد الصفحات8
دوريةInternational Journal of Advanced Manufacturing Technology
مستوى الصوت74
رقم الإصدار5-8
المعرِّفات الرقمية للأشياء
حالة النشرPublished - سبتمبر 2014
منشور خارجيًانعم

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