Conventional data envelopment analysis (DEA) models are used to measure efficiency score of production systems when they are considered as black boxes and their internal relationship is ignored. This paper deals with a common special case of network systems which is called multi-stage production system and can be generalized to many organizations. A multi stage production system has some stages...

We propose two-dimensional representations for the efficient frontier two different Network DEA (NDEA) models. Both follow a previous study that developed generalization of representation method classic using new form linearization. The graphical allows managers and decision-makers unfamiliar with linear programming to understand results obtained simply clearly. In this study, we can obtain gra...

The objective of this study was to determine the economic efficiency of resource utilization in broiler production farms using a nonparametric production function, data envelopment analysis (DEA). Data for the analysis were collected from a cross section of 44 farmers using a multi-stage sampling procedure. In DEA models the farmers that produce their level of output with the least amount of in...

This study uses a sample of 30 banks (4 public, 18 local private and 8 foreign banks) and two stage Data Envelopment Analysis (DEA) to provide evidence on the impact of macroeconomic and bank specific factors on banks’ efficiency. We first use DEA to estimate technical and scale efficiency and then Tobit regression approach to find out the impact of several bank-specific and macroeconomic facto...

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to...

When organizations do not have well defined goals and constraints, traditional mixed integer programming MIP models are ineffective for portfolio selection. In such cases, some organizations revert to building project portfolios based on data envelopment analysis DEA relative efficiency scores. However, implementing the k most efficient projects until resources are expended will not always resu...

Based on the panel data for 2005-2011, the paper conducts an empirical analysis on the efficiency and its determinants of China's service outsourcing industry by using the three-stage DEA technique. The empirical results show that the production efficiency of the service outsourcing industry in the year of 2011 is 0.803 from Super-DEA model and 0.573 from standard DEA model. The too-small scale...