Data Envelopment Analyses
Zohreh Moghaddas; Mohsen Vaez Ghasemi
Abstract
Purpose: Evaluating the cost efficiency of a network system using Data Envelopment Analysis (DEA) models can be improved from various aspects that exist in real applications. In this study, the aim is to consider a specific set of weights to evaluate cost efficiency in a two-stage network system.Methodology: ...
Read More
Purpose: Evaluating the cost efficiency of a network system using Data Envelopment Analysis (DEA) models can be improved from various aspects that exist in real applications. In this study, the aim is to consider a specific set of weights to evaluate cost efficiency in a two-stage network system.Methodology: In this research, using data envelopment analysis method, an attempt is made to provide a model for evaluating the cost of the network system.Findings: The results showed that considering the relationships between different stages in a network system can directly affect the results. This issue has been investigated from cost optimization assessments. Considering the set of weights from different aspects can affect the scores obtained.Originality/Value: According to the models and methods in the literature, in this study, a model is presented that considers cost efficiency in a two-stage model.
Data Envelopment Analyses
Ehsan Jamasb Ghalati; Mohammadreza Mozaffari; Kazem Etemad
Abstract
Purpose: This study was carried out to propose cost and revenue models for evaluating road and urban construction and development projects in Shiraz (Iran) using Data Envelopment Analysis (DEA) and DEA based ratio data, (DEA-R) techniques. Today, we are encountering controllable and uncontrollable data ...
Read More
Purpose: This study was carried out to propose cost and revenue models for evaluating road and urban construction and development projects in Shiraz (Iran) using Data Envelopment Analysis (DEA) and DEA based ratio data, (DEA-R) techniques. Today, we are encountering controllable and uncontrollable data in some projects. In this research, cost and revenue efficiency models were proposed considering controllable and uncontrollable indicators.Methodology: In this research, cost and revenue efficiency model with controllable and uncontrollable indicators in DEA and DEA-R is presented, also by measuring cost and revenue efficiency with controllable and uncontrollable indicators to compare the results between these two models Been paid.Findings: By comparing the results between cost and revenue efficiency models with controllable and uncontrollable indicators in DEA and DEA-R, it was concluded that it is not possible to make a logical comparison between them. But the proposed models can be important in order to use the input to output ratios. In some decision-making units, similar behavior may be present in DEA and DEA-R, but it is not a criterion for general comparison.Originality/Value: In this paper, a model for measuring cost and revenue efficiency with controllable and uncontrollable indicators was presented, which can be an introduction to provide more models for measuring cost and revenue efficiency under real conditions.