Paper Info
Title
Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis.
Abstract
Supply chain management aims to designing, managing and coordinating material/product, information and financial flows to fulfill the customer requirements at low costs and thereby increasing supply chain profitability. In the last decades, data envelopment analysis has become the main topic of interest as a mathematical tool to evaluate supply chain management. While, various data envelopment analysis models have been suggested to measure and evaluate the supply chain management, there is a lack of research regarding to systematic literature review and classification of study in this field. Regarding this, some major databases including Web of Science and Scopus have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. Accordingly, a review of 75 published articles appearing in 35 scholarly international journals and conferences between 1996 and 2016 have been attained to reach a comprehensive review of data envelopment analysis models in evaluation supply chain management. Consequently, the selected published articles have been categorized by author name, the year of publication, technique, application area, country, scope, data envelopment analysis purpose, study purpose, research gap and contribution, results and outcome, and journals and conferences in which they appeared. The results of this study indicated that areas of supplier selection, supply chain efficiency and sustainable supply chain have had the highest frequently than other areas. In addition, results of this review paper indicated that data envelopment analysis showed great promise to be a good evaluative tool for future evaluation on supply chain management, where the production function between the inputs and outputs was virtually absent or extremely difficult to acquire. The facility of multiple inputs and multiple outputs of the data envelopment analysis model was definitely an attractive one to most researchers and, therefore, the data envelopment analysis procedure had found many applications beyond supply chain management into organization and industry.
Year
DOI
Venue
2018
10.1007/s10479-017-2605-1
Annals OR
Keywords
Field
DocType
Data envelopment analysis (DEA), Green supply chain, PRISMA, Sustainable supply chain, Supply chain performance, Supplier selection
Production function,Economics,Mathematical optimization,Systematic review,Scopus,Profitability index,Supply chain management,Supply chain,Data envelopment analysis,Meta-analysis,Operations management,Process management
Journal
Volume
Issue
ISSN
271
2
0254-5330
Citations 
PageRank 
References 
5
0.45
44
Authors
6
Name
Order
Citations
PageRank
Somayeh Soheilirad1241.20
k govindan2182.41
Abbas Mardani319313.36
Edmundas Kazimieras Zavadskas450049.88
Mehrbakhsh Nilashi531324.80
Norhayati Zakuan6242.55