Finding the Most Efficient DMU in DEA: A Model-Free Procedure
عنوان مقاله: Finding the Most Efficient DMU in DEA: A Model-Free Procedure
شناسه ملی مقاله: JR_COAM-7-1_002
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_COAM-7-1_002
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Zahra Noori - Department of Mathematics, Islamic Azad University, Lahijan Branch, Lahijan, Iran.
Hamed Zhiani Rezai - Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran.
Alireza Davoodi - Department of Mathematics, Islamic Azad University, Neyshabur Branch, Neyshabur, Iran.
Sohrab Kordrostami - Department of Mathematics, Islamic Azad University, Lahijan Branch, Lahijan, Iran
خلاصه مقاله:
Zahra Noori - Department of Mathematics, Islamic Azad University, Lahijan Branch, Lahijan, Iran.
Hamed Zhiani Rezai - Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran.
Alireza Davoodi - Department of Mathematics, Islamic Azad University, Neyshabur Branch, Neyshabur, Iran.
Sohrab Kordrostami - Department of Mathematics, Islamic Azad University, Lahijan Branch, Lahijan, Iran
Data envelopment analysis models are able to rank decision-making units (DMUs) based on their efficiency scores. In spite of the fact that there exists a unique ranking of inefficient DMUs, ranking efficient DMUs is problematic. However, rather than ranking methods, another way to choose one of the efficient units is to determine the most efficient DMU. Up to the present, many models have been proposed to rank DMUs and determine the most efficient one. These models require solving nonlinear or integer programs, which are NP-hard and time-consuming. Considering efficient DMU's characteristics, this paper proposes a procedure to find the most efficient DMU through some simple operations. The validity of the proposed approach is verified and tested via some numerical examples.
کلمات کلیدی: Data envelopment analysis, Most efficient DMU, Input and output weights, Mathematical model
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1605887/