many studies have been conducted to determine the efficiency of two-stage network structures in the recent years. the two-stage network with additional inputs to the second stage, in which the second stage is independent of the first stage are one of these structures. thus, there is a need for a model capable of calculating the efficiency of two-stage structures as well as efficiency of each st...

Abstract: In DEA, there are typically two schemes for measuring efficiency of DMUs; radial and non-radial. Radial models assume proportional change of inputs/outputs and usually remaining slacks are not directly accounted for inefficiency. On the other hand, non-radial models deal with slacks of each input/output individually and independently, and integrate them into an efficiency measure, cal...

Data envelopment analysis (DEA) is extensively adopted to evaluate the relative efficiencies of a group insurance companies from multidimensional perspective. Selecting an appropriate DEA framework for businesses, however, remains ambiguous. We use slack-based measure (SBM) models in four perspectives, namely, SBM, network SBM (NSBM), dynamic (DSBM), and (DNSBM) frameworks. present applicabilit...

Improving the quality of project-based teaching can have several benefits for students, including development hands-on skills, expanded thinking abilities, a better understanding real life situations, building connection between individuals and society, internalizing knowledge. Therefore, conducting scientific evaluation is crucial. In this study, focus was on process teaching, involving 120 co...

In banking system the evaluation of productivity and performance is key factor among fundamental concepts in management. For identify potential a bank efficiency parameter to evaluate effective system. To measure selection appropriate input-output variables one most vital issues. The suitable identification helps create model order analysis. Data Envelopment Analysis (DEA) mathematical approach...

In data envelopment analysis, there are several methods for measuring efficiency change over time, e.g. the window analysis and the Malmquist index. However, they usually neglect carry-over activities between consecutive two terms. These carry-overs play an important role in measuring the efficiency of decision making units in each term as well as over the whole terms based on the long-term vie...

As a non-parametric technique, Data Envelopment Analysis (DEA) evaluates the relative efficiency of peer decision making units (DMUs) that have multiple inputs and outputs. In many situations, DMUs have a two-stage structure, where * Corresponding author. E-mail address: [email protected] (A. Ashrafi) 1436 A. Ashrafi, A. B. Jaafar, L. S. Lee and M. R. Abu Bakar the first stage uses inputs to ...

Data envelopment analysis (DEA) is a linear programming based non-parametric technique for evaluating the relative efficiency of homogeneous decision making units (DMUs) on the basis of multiple inputs and multiple outputs. There exist radial and non-radial models in DEA. Radial models only deal with proportional changes of inputs/outputs and neglect the input/output slacks. On the other hand, ...