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Data Envelopment Analysis for Supply Chain Management: An Overview on Applications, Major Findings, and Future Directions

In: Handbook on Data Envelopment Analysis in Business, Finance, and Sustainability Recent Trends and Developments

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  • Hakan Yildiz

Abstract

Performance measurement of supply chains and supply chain processes is an important area of research that allows for benchmarking and improvement. Among the many methods, data envelopment analysis (DEA) is an interesting and useful quantitative method that is capable of considering multiple key performance indicators simultaneously. DEA has been widely used in the area of supply chain management, which spans sourcing decisions, logistics management, supply chain performance evaluation, and supply chain risk management. In this chapter, we provide an overview of these application areas, highlight major findings, and point to future research directions.

Suggested Citation

  • Hakan Yildiz, 2024. "Data Envelopment Analysis for Supply Chain Management: An Overview on Applications, Major Findings, and Future Directions," World Scientific Book Chapters, in: Sabri Boubaker & Thanh Ngo (ed.), Handbook on Data Envelopment Analysis in Business, Finance, and Sustainability Recent Trends and Developments, chapter 3, pages 83-97, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9781800615786_0003
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    Keywords

    Data Envelopment Analysis; Business; Finance; Banking; Accounting; Sustainability; Efficiency; Performance; Productivity; Total Factor Productivity; Frontier Analysis;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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