Free Software for Decision Analysis: A Software Package for Data Envelopment Models

نویسندگان

  • Lidia Angulo Meza
  • Luiz Biondi Neto
  • João Carlos Correia Baptista Soares de Mello
  • Eliane Gonçalves Gomes
  • Pedro Henrique Gouvea Coelho
چکیده

Data Envelopment Analysis is based on linear programming problems (LPP) in order to find the efficiency of Decision Making Units (DMUs). This process can be computationally intense, as a LPP has to be run for each unit. Besides, a typical DEA LPP has a large number of redundant constraints concerning the inefficient DMUs. That results in degenerate LPPs and in some cases, multiple efficient solutions. The developed work intends to to fill out a gap in current DEA software packages i.e. the lack of a piece of software capable of producing full results in classic DEA models as well as the capability of using more advanced DEA models. The software package interface as well as the models and solution algorithms were implemented in Delphi. Both basic and advanced DEA models are allowed in the package. Besides the main module that includes the DEA models, there is an additional module containing some models for decision support such as the multicriteria model called Analytic Hierarchic Process (AHP). The developed piece of software was coined as FSDA – Free Software for Decision Analysis.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

FSDA – Free Software for Decision Analysis (SLAD – Software Livre de Apoio a Decisão): A Software Package for Data Envelopment Analysis Models

Data Envelopment Analysis models are based on linear programming problems (LPP) to determine the efficiency of Decision-Making Units (DMUs). This process can be computationally intense, as a LPP has to be run for each unit. Besides, a typical DEA LPP has a large number of redundant constraints concerning the inefficient DMUs. That results in degenerate LPPs and in some cases multiple efficient ...

متن کامل

Data Envelopment Analysis with LINGO Modeling for Technical Educational Group of an Organization

Data Envelopment Analysis (DEA) was developed to help compare the relative performance of decision-making units. It is a non-parametric method for performing frontier analysis. It uses linear programming to estimate the efficiency of multiple decision-making units and it is commonly used in production, management and economics [3]. DEA generates an efficiency score between 0 and 1 for each unit...

متن کامل

Some Conditions for Characterizing Minimum Face in Non-Radial DEA Models with Undesirable Outputs

The problem of utilizing undesirable (bad) outputs in DEA models often need replacing the assumption of free disposability of outputs by weak disposability of outputs. The Kuosmanen technology is the only correct representation of the fully convex technology exhibiting weak disposability of bad and good outputs. Also, there are some specific features of non-radial data envelopment analysis (DEA...

متن کامل

A New Group Data Envelopment Analysis Method for Ranking Design Requirements in Quality Function ‎Deployment

‎Data envelopment analysis (DEA) is an objective method for priority determination of decision making units (DMUs) with the same multiple inputs and outputs. DEA is an efficiency estimation technique, but it can be used for solving many problems of management such as rankig of DMUs. Many researchers have found similarity between DEA and MCDM techniques. One of the earliest techniques in MCDM is...

متن کامل

Efficiency evaluation of wheat farming: a network data envelopment analysis approach

Traditional data envelopment analysis (DEA) models deal with measurement of relative efficiency of decision making units (DMUs) in which multiple-inputs consumed to produce multiple-outputs. One of the drawbacks of these models is neglecting internal processes of each system, which may have intermediate products and/or independent inputs and/or outputs. In this paper some methods which are usab...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005