This paper presents the efficiency measurement model that has been developed based on data envelopment analysis. The model is intended for products produced by organization, optimizes a ratio of multiple weighted outputs to a multiple weighted inputs, where the efficient unit will have a score of one, and the inefficient unit will have a score less than one. The model is simple yet practical in implementation. Descriptive analysis of the data, model validation and relative efficiency results are presented. It is anticipated that the projects which act as the decision making unit can later be used to determine the efficiency of the company department/unit that housed the projects
So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (...
Data Envelopment Analysis (DEA) is a non-parametric approach to operations research for assessing th...
DEA is a well-known decision making tool and efficiency measurement technique which was proposed by ...
This paper presents a model to measure the efficiency of products produced by organization.The produ...
Measuring the relative efficiency of similar units has been an open research for years. Data en-velo...
Efficiency is one of the performance parameters which theoretically is one of the underlying perform...
In the wake of the economic crisis, IT companies being totally dependent on project-based business, ...
Data Envelopment Analysis (DEA) is a non-parametric linear programming model used to determine relat...
Data envelopment analysis (DEA) represents a new and innovative way of measuring performance in the ...
Data Envelopment Analysis (DEA) is the use of non-parametric mathematical programming that is useful...
Abstract Data Envelopment Analysis (DEA) is a mathematical programming approach to assess relative e...
The production line in manufacturing industry usually consists of several processes and must go thro...
Data Envelopment Analysis (DEA) is a management tool aimed to detemnien relative efficency of indepe...
The organizations' managers should assess and measure the operation of the departments under their d...
grantor: University of TorontoIn today's economy and society, performance analyses in the...
So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (...
Data Envelopment Analysis (DEA) is a non-parametric approach to operations research for assessing th...
DEA is a well-known decision making tool and efficiency measurement technique which was proposed by ...
This paper presents a model to measure the efficiency of products produced by organization.The produ...
Measuring the relative efficiency of similar units has been an open research for years. Data en-velo...
Efficiency is one of the performance parameters which theoretically is one of the underlying perform...
In the wake of the economic crisis, IT companies being totally dependent on project-based business, ...
Data Envelopment Analysis (DEA) is a non-parametric linear programming model used to determine relat...
Data envelopment analysis (DEA) represents a new and innovative way of measuring performance in the ...
Data Envelopment Analysis (DEA) is the use of non-parametric mathematical programming that is useful...
Abstract Data Envelopment Analysis (DEA) is a mathematical programming approach to assess relative e...
The production line in manufacturing industry usually consists of several processes and must go thro...
Data Envelopment Analysis (DEA) is a management tool aimed to detemnien relative efficency of indepe...
The organizations' managers should assess and measure the operation of the departments under their d...
grantor: University of TorontoIn today's economy and society, performance analyses in the...
So far, numerous studies have been developed to evaluate the performance of “Decision-Making Units (...
Data Envelopment Analysis (DEA) is a non-parametric approach to operations research for assessing th...
DEA is a well-known decision making tool and efficiency measurement technique which was proposed by ...