Author/Authors :
Keshavarz Mehdi نويسنده Department of Emergency Medicine, Isfahan University of Medical Sciences, Isfahan, Iran , Omrani Hashem نويسنده Department of Industrial Engineering, Urmia University of Technology, Urmia, Iran , Ghaderi Seyed Farid نويسنده Professor
Abstract :
The existing relational network Data Envelopment Analysis (DEA) models
evaluate the performance of Decision Making Units (DMUs) with precise data. Whereas,
in the real-world applications, there are many Supply Chain (SC) networks with imprecise
and vague gures. This paper develops a relational network DEA model for evaluating
the performance of supply chains with fuzzy numbers. The proposed fuzzy model is
capable of evaluating the performance of all kinds of network structures. A pair of twolevel
mathematical programs is utilized to convert the fuzzy relational network DEA to a
conventional crisp one. For this purpose, the upper and lower bounds of the eciencies are
calculated by -cut concept. The proposed model is implemented using actual data from
the supply chain of an international shipping company in Iran.
