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 --...

Lee et al. (2011) and Chen and Liang (2011) develop a data envelopment analysis (DEA) model to address the infeasibility issue in super-efficiency models. In this paper, we point out that their model is feasible when input data are positive but can be infeasible when some of input is zero. Their...

It is well known that super-efficiency data envelopment analysis (DEA) approach can be infeasible under the condition of variable returns to scale (VRS). By extending of the work of Chen (2005), the current study develops a two-stage process for calculating super-efficiency scores regardless...