Title: A new data envelopment analysis model for evaluating the performance of expert systems in supply chain management
Authors: Majid Azadi; Reza Farzipoor Saen
Addresses: Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, P. O. Box 31485-313 Karaj, Iran ' Department of Industrial Management, Faculty of Management and Accounting, Karaj Branch, Islamic Azad University, P. O. Box 31485-313 Karaj, Iran
Abstract: In supply chain management (SCM), the company that evaluates expert systems (ES) has competitive advantage over competitors. Performance evaluation of the ES in SCM is a significant yet complex task which requires careful consideration of various performance criteria. Therefore, evaluation of the performance of ES in SCM is an important issue and it has a strategic significance for every company. One of the techniques that can be used for evaluation of the performance of ES is data envelopment analysis (DEA). In the current study, we introduce a novel model for evaluating the performance of ES in SCM using new range adjusted measure (RAM) model in the existence of dual-role factor and stochastic data. We present a case study in SCM of a drink industry in Iran.
Keywords: supply chain management; SCM; expert systems; ES; data envelopment analysis; DEA; range adjusted measure; RAM; dual-role factor; chance-constrained programming; CCP.
International Journal of Operational Research, 2017 Vol.30 No.1, pp.65 - 82
Received: 12 Apr 2014
Accepted: 22 Feb 2015
Published online: 21 Jul 2017 *