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Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis

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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.

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Acknowledgements

The authors would like to thank the Research Management Center (RMC) at Universiti Teknologi Malaysia (UTM) and Ministry of Higher Education (Malaysia) for supporting and funding this research under the Fundamental Research Grant Scheme (FRGS) (Vote no.FRGS/1/2016/TK03/UTM/02/14) and Research University Grant (RUG) (Ref. No.PY/2016/06279)

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Authors and Affiliations

  1. Faculty of Management, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia

    Somayeh Soheilirad, Abbas Mardani & Norhayati Zakuan

  2. Center for Sustainable Supply Chain Engineering, Department of Technology and Innovation, University of Southern Denmark, 5230, Odense M, Denmark

    Kannan Govindan

  3. Department of Construction Technology and Management, Vilnius Gediminas Technical University, Sauletekio al. 11, 10223, Vilnius, Lithuania

    Edmundas Kazimieras Zavadskas

  4. Faculty of Computing, Universiti Teknologi Malaysia (UTM), 81310, Skudai, Johor, Malaysia

    Mehrbakhsh Nilashi

  5. Department of Computer Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

    Mehrbakhsh Nilashi

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Correspondence to Kannan Govindan.

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Soheilirad, S., Govindan, K., Mardani, A. et al. Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis. Ann Oper Res 271, 915–969 (2018). https://doi.org/10.1007/s10479-017-2605-1

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