Advanced Topics in Inverse Data Envelopment Analysis

Grab the edge in performance measurement with Advanced Topics in Inverse Data Envelopment Analysis, a rigorous and accessible guide for researchers and practitioners seeking deep mastery of inverse DEA methods. Authored by Mehdi Soltanifar, Mojtaba Ghiyasi, Farhad Hosseinzadeh Lotfi, and Mohammadreza Shahriari, this book translates sophisticated theory into practical insight for real-world benchmarking and target-setting.

Dive into clear explanations of inverse DEA principles, advanced model extensions, and contemporary solution techniques. Coverage includes parametric and non‑parametric inverse problems, sensitivity and stability analysis, multi‑stage and network structures, and strategies for dealing with uncertainty and heterogeneity. Carefully worked examples and empirical applications illuminate how inverse Data Envelopment Analysis informs resource reallocation, regulatory decisions, and performance improvement across sectors such as healthcare, banking, energy, and education.

Whether you are a PhD student, academic researcher, management consultant, or data analyst, this volume equips you with tools to reconstruct inputs or outputs required to reach desired efficiency levels and to evaluate the robustness of performance targets. The authors balance formal proofs with intuitive discussion and algorithmic guidance, making advanced inverse DEA approachable without sacrificing rigor.

Globally relevant—applicable in the Middle East, Europe, North America, Asia, and beyond—this book is an essential reference for anyone working on efficiency measurement, benchmarking, or operations research. Strengthen your analytical toolkit and make more informed, data-driven decisions: add Advanced Topics in Inverse Data Envelopment Analysis to your library today.

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