An economic measure of scale efficiency is the ratio of the minimum average cost to the average cost at the actual output level of a firm. It is easily measured by the ratio of the total cost of this output under the constant and variable returns to scale assumptions. This procedure does not identify the output level where the average cost reaches a minimum. This paper proposes a nonparametric ...

A significant theme in data envelopment analysis (DEA) is the stability of returns to scale (RTS) classification of specific decision making unit (DMU) which is under observed production possibility set. In this study the observed DMUs are public postal operators (PPOs) in European Union member states and Serbia as a candidate country. We demonstrated a sensitivity analysis of the inefficient P...

DEA models help a DMU to detect its (in-)efficiency and to improve activities, if necessary. Efficiency is only one economic aim for a decision-maker; however, up- or downsizing might be a second one. Improving efficiency is the main topic in DEA; the long-term strategy towards the right production size should attract our attention as well. Not always the management of a DMU primarily focuses o...

Unemployment is one of the most important economic problems in Iran, so that many of its managers plan to increase employment rates. Increasing the employment rate needs to increase economic productivity which DEA is one of the most appropriate evaluation methods for estimating the productivity of similar organizations. Employment in the amount of data input and output can be just interval. In ...

Economics depends on the economic scale of planning. Economists study the characteristics of the production function, while community operating management focuses on demand realization, so that loss of sales or inventory prevents cost reductions and maximizes profits. However, companies with a lack of capacity need to achieve economies of scale and demand to realize them simultaneously, especia...

This paper proposes a new resource allocation model which is based on data envelopment analysis (DEA) and concerns systems with several homogeneous units operating under supervision of a central unit. The previous studies in DEA literature deal with reallocating/allocating organizational resource to improve performance or maximize the total amount of outputs produced by individual units. In tho...

Using a sample of 21 OECD-countries we measure productivity in top-edge economic research by using data envelopment analysis (DEA). DEA is a tool for evaluating relative efficiency and is widely used when there are multiple inputs and outputs and one lacks a specific functional form of a production function. The publications in 10 economics journals with the highest average impact factor over t...

Robust measurement of scale elasticity (SE) in data envelopment analysis (DEA) models remains elusive, primarily reflecting the computational challenges brought about by the piecewise linear nature of the DEA technology. SE is meaningfully defined only at frontier points or at the projection of interior points to the frontier but not for the inefficient unit itself. A long held issue of concern...

Aim To establish prehospital triage in accordance with the new guidelines for endovascular therapy, we retrospectively analyzed the monitoring data of the city-wide transportation system using the Maria Prehospital Stroke Scale (MPSS), a novel prehospital stroke scale for emergency medical technicians (EMTs) to predict the likelihood of thrombolytic therapy after transportation. Methods Kawas...

Currently, methylprednisolone sodium succinate (MPSS) is the standard treatment following acute spinal cord injury (SCI) as a consequence of the results obtained from the National Acute Spinal Cord Injury Studies. However, many have questioned the efficacy of MPSS because of its marginal effects. Additionally there has been criticism of both study design and statistical interpretation. The func...