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Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review

  • S.I. : Business Analytics and Operations Research
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Abstract

Purchasing occupies a strategic role in supply chain management for a firm and is the driver of competitive advantage. Owing to the high purchase cost to revenue ratio, decisions such as evaluation, selection, and performance management of suppliers are of the matter of immense interest to firms. Multi-criteria decision making tools allow the purchasing managers to evaluate the suppliers holistically. One such tool, data envelopment analysis (DEA) has been used extensively for supplier evaluation and selection. This paper presents a comprehensive review of 161 articles published since 2000, on the application of DEA in supplier selection. These articles are located from the Scopus database. With little existing literature on a full-fledged review, this work envisages to be first of its kind, by aiding DEA practitioners in purchasing function. The analysis of the study indicates the emergence of the theme of green supply chain and sustainability in recent years as well as the adoption of hybrid approaches to solving the problem of supplier selection using DEA. The paper presents various classifications of DEA methods based on input criteria, sectors of application, and industry-wide case studies, which can be used as a quick reckoner by an academician or a purchasing manager.

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  1. Shailesh J. Mehta School of Management, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India

    Pankaj Dutta, Bharath Jaikumar & Manpreet Singh Arora

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Dutta, P., Jaikumar, B. & Arora, M.S. Applications of data envelopment analysis in supplier selection between 2000 and 2020: a literature review. Ann Oper Res 315, 1399–1454 (2022). https://doi.org/10.1007/s10479-021-03931-6

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