DocumentCode :
3154498
Title :
A data envelopment analysis approach based on the service qualtiy concept for vendor selection
Author :
Shirouyehzad, H. ; Lotfi, F. Hosseinzadeh ; Dabestani, R.
Author_Institution :
Dept. of Ind. Engineeriring, Islamic Azad Univ., Isfahan, Iran
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
426
Lastpage :
430
Abstract :
A basic part of the logistics management in companies is the purchasing function, and the appropriate selection of vendors is one of the prime responsibilities of this function. Many conceptual and analytical models have been developed for addressing the vendor selection problem. While it has been recognized that vendor selection is multiobjective in nature, litle has been done to develop techniques for measuring vendors´ performance on multiple criteria. Thus, this paper presents an approach for evaluating vendors in order to select the most proper one in a procurement situation. The approach uses data envelopment analysis to evaluate the vendors´ efficiency. The criteria considered in this model are service quality, price, delivery and rate of rejected parts. The findings prove that the traditional supplier evaluation and selection methods are inefficient and the vendors who provide the best service quality are not necessarily efficient.
Keywords :
data envelopment analysis; logistics; pricing; purchasing; analytical model; conceptual model; data envelopment analysis approach; logistics management; product delivery; product price; purchasing function; rejected part; service quality; supplier evaluation; vendor selection problem; vendors performance evaluation; Analytical models; Data envelopment analysis; Engineering management; Industrial engineering; Logistics; Manufacturing; Mathematics; Procurement; Production; Security; Data enveloent analyss (DEA); Efficiency; Service quality; Vendor selecton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223823
Filename :
5223823
Link To Document :
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