Yao Chen

TL;DR: Data envelopment analysis is used to evaluate the relative efficiency of peer decision making units (DMUs) and it is shown that there exist numerous Nash equilibriums efficiency plans for the supplier and the manufacturer with respect to their efficiency functions.

TL;DR: An additive super-efficiency model is presented and applied to a sample of general acute care hospitals in Pennsylvania and includes the survival rate as a quality measure of health outcome in the set of output variables.

TL;DR: In this article, the authors used an additive super-efficiency data envelopment analysis (DEA) model to predict corporate failure and success, and developed a new assessment index based on two frontiers for predicting corporate failures and success.

TL;DR: The proposed modified M-L index has proved to be consistently feasible and guarantees non-negative reference targets for all metrics and is recommended as a robust tool for solving the infeasibility problem that is typical in conventional index and for assessing productivity under environmental impacts.

TL;DR: In this article, the authors proposed to modify the directional distance function by selecting proper feasible reference bundles so that the resulting N-L measure of super-efficiency is always feasible. But this model does not suffer infeasibility problem as in the conventional radial super efficiency DEA models and can produce an infeasible solution in two special situations.