Table of Contents
Advances in Decision Sciences
Volume 2011, Article ID 608324, 8 pages
Research Article

A Data Envelopment Analysis Approach to Supply Chain Efficiency

Department of Applied Mathematics, Islamic Azad University, Rasht 41648-13955, Iran

Received 18 August 2011; Accepted 7 December 2011

Academic Editor: Stefanka Chukova

Copyright © 2011 Alireza Amirteimoori and Leila Khoshandam. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Supply chain management is an important competitive strategies used by modern enterprises. Effective design and management of supply chains assists in the production and delivery of a variety of products at low costs, high quality, and short lead times. Recently, data envelopment analysis (DEA) has been extended to examine the efficiency of supply chain operations. Due to the existence of intermediate measures, the usual procedure of adjusting the inputs or outputs, as in the standard DEA approach, does not necessarily yield a frontier projection. The current paper develops a DEA model for measuring the performance of suppliers and manufacturers in supply chain operations. Additive efficiency decomposition for suppliers and manufacturers in supply chain operations is proposed.