This book presents the underlying theory, model development, and applications of network Data Envelopment Analysis (DEA) in a systematic way. The field of network DEA extends and complements conventional DEA by considering not only inputs and outputs when measuring system efficiency, but also...

Introduction -- Output-Input Ratio Efficiency Measures -- Distance Function Efficiency Measures- Slacks-Based Efficiency Measures -- Efficiency Measurement in Special Production Stages -- Special Types of Input and Output Factors -- Special Types of Data -- Changes of Efficiency over Time --...

Conventional data envelopment analysis (DEA) for measuring the relative efficiency of a set of decision-making units (DMUs) requires the observations to have precise values. When observations are imprecise and represented by interval values, the efficiencies are also expected to reflect interval...

The conventional slacks-based measure (SBM) model is widely applied to measure the relative efficiency of a set of decision making units (DMUs) because the measured efficiency is not affected by weakly efficient frontiers. This model seeks the target point on the production frontier that is...

This handbook focuses on Data Envelopment Analysis (DEA) applications in operations analytics which are fundamental tools and techniques for improving operation functions and attaining long-term competitiveness. In fact, the handbook demonstrates that DEA can be viewed as Data Envelopment...

Preface -- Contents -- Contributors -- Chapter 1: Ranking Decision Making Units: The Cross-Efficiency Evaluation -- 1.1 Introduction -- 1.2 Ranking Methods in DEA -- 1.3 The Cross-Efficiency Evaluation: The Standard Approach -- 1.4 The Choice of DEA Weights in Cross-Efficiency Evaluations --...