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

Hakan Yildiz

Chapter 3 in Handbook on Data Envelopment Analysis in Business, Finance, and Sustainability:Recent Trends and Developments, 2024, pp 83-97 from World Scientific Publishing Co. Pte. Ltd.

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.

Keywords: Data Envelopment Analysis; Business; Finance; Banking; Accounting; Sustainability; Efficiency; Performance; Productivity; Total Factor Productivity; Frontier Analysis (search for similar items in EconPapers)
JEL-codes: C44 C5 (search for similar items in EconPapers)
Date: 2024
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