Data envelopment analysis (DEA), as originally proposed, is a methodology for evaluating the relative efficiencies of a set of homogeneous decision-making units (DMUs) in the sense that each uses the same input and output measures (in varying amounts from one DMU to another). In some situations, however, the assumption of homogeneity among DMUs may not apply. As an example, consider the case wh...

Data envelopment analysis (DEA) is a technique that takes account of multiple inputs and outputs to assess the relative efficiency of organisational units. Unlike regression its assessments are not based on any average but on best observed practice (and weighted combinations thereof). Whilst DEA has seen an explosive growth in its application to various fields, it has rarely been applied to the...

This paper is aimed to give an illustration on the application of Data Envelopment Analysis (DEA) as a tool to assess Quality Management (QM) efficiency. A variant of DEA, slack based measure (SBM) is used for this purpose. From this study, it is found that DEA is suitable to measure QM efficiency and give improvement suggestions to the inefficient QM. Keywords—Quality Management, Data Envelopm...

We estimate a semi-parametric model of health production process using a two-stage approach for OECD countries. By regressing data envelopment analysis output efficiency scores on non-discretionary variables, both using Tobit analysis and a single and double bootstrap procedure, we show that inefficiency is strongly related to GDP per head, the education level, and health behaviour such as obes...

A typical use and interpretation of data envelopment analysis (DEA) targets is to identify performance goals that if achieved will project an inefficient decision making unit onto the efficiency frontier. This will occur, however, only if all other units maintain their same input and output levels, which is rarely the case over time. This paper investigates alternate approaches for interpreting...

It has recently been shown that the incorporation of weight restrictions in models of data envelopment analysis (DEA) may induce free or unlimited production of output vectors in the underlying production technology, which is expressly disallowed by standard production assumptions. This effect may either result in an infeasible multiplier model with weight restrictions or remain undetected by n...

Data Envelopment Analysis (DEA) is a powerful performance measurement in economic sector and operations research to assess the relative efficiency for each decision making unit (DMU). In general, there are two assumptions in DEA. Firstly, the DEA assumes that all DMUs are homogenous in their environments and secondly, the DEA is a deterministic approach which refers to not allow to noise or err...

We report on an application of data envelopment analysis to hospital capacity planning in Germany. This work was carried out as part of a ministry report prepared by a major German health care consulting company. Our input into this report is a first attempt to incorporate the relative economic efficiency of hospitals into the capacity planning process. The application develops a general approa...

Mathematical programming is one of the areas to which fuq set theoq has been applied extensively. Primarily based on Bellman and Zadeh’s model of decision in fuzzy environments, models have been suggested which allow flexibility in constraints and nonlinear programming. Data envelopment analysis (DEA) is a method of evaluating relative efJiciencies for a group of similar units based on an efici...