Data Envelopment Analysis Software Mac

  
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Using Excel for Basic Data Envelopment Analysis Nathan Proudlove 5 ' L 0m 0 for m = 1 to n (13) ' f 0 unrestricted The variable f' 0, the intensity factor, is the factor by which unit 0’s output. KonSi Data Envelopment Analysis for Benchmarking SoftWare provides performance measurement using Data Envelopment Analysis ( DEA). It is widely adopted in different business-unit based enterprises. KonSi DEA Analysis is easy to apply to various practical tasks, when the analyst has to evaluate the efficiency of many units under benchmarking.

Measuring efficiency to benchmark the performance of organizations such as banks, financial firms, ports, hotels etc. is important. In one of the recent projects, the analyst found Statistical Package for Social Science (SPSS) and MS Excel to be unsuitable to process data collected to measure efficiency. Thus, the application of specific efficiency testing software is important using the data envelopment analysis (DEA).Data envelopment analysis (DEA) is the most commonly used program for this purpose (Coelli, 2008). This software has been programmed and copyrighted by Tim Coelli from of University of New England (Centre for Efficiency and Productivity Analysis, Department of Econometrics, Australia). The software is a DOS-based command system and comes in a zipped format along with guidelines on how to use it. However, the program did not indicate how one can use the DOS command to conduct the test. It only contained interpretations of the sample results.

Chapter 2 DATA ENVELOPMENT ANALYSIS EXPLAINED The purpose of chapters 2 and 3 is to provide a clear explanation for managers who may have no background in linear programming about i) what DEA is, ii) how to apply DEA to identify paths to improve service performance, Hi) how the reader can try DEA using Microsoft® Excel, and iv) how to use the Excel Solver based DEA software - DEAFrontier. Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube. Data Envelopment Analysis using DEA Solver, which is basically an MS Excel plugin and downloadable freely from DEA solver 8.0 includes 28 clusters of DEA models (“User ’ s Guide to DEA-Solver-Learning Version,” 2015).

However, MS Excel can be used to benchmark the performance of an organization manually. But in many kinds of literature, it was found to be not reliable as it does not show the actual value of efficiency since the variables may be biased. Furthermore, the MS Excel add-ins are developed to help in efficiency testing, have limitations. On the other hand in the case of SPSS, there is no such efficiency test. However, large corporations can have access to other software, but this module is basically focused to help academicians in conducting their researches. Moreover, based on literature reviews, data envelopment analysis helps to evaluate key performance indicators and benchmarking analysis to measure efficiency (Beasley, 2017).

Installing the software

Data Envelopment Analysis Ppt

In order to install the software package; copy and paste the link to the address page on the browser or directly click on the link → http://www.uq.edu.au/economics/cepa/deap.php:

  1. After downloading, firstly unzip the program from the zipped folder and extract the contents to a new folder (Name it DEAP according to convenience).
  2. The zip folder contains four main files i.e., executable file “DEAP.EXE” (which is the main executable file and the DOS file), startup file “DEAP.000” (this file is linked to the executable file as it contains the algorithm to conduct efficiency test), data.txt (file name for notepad where dataset is to be pasted) and data-ins.txt (this includes the set of parameters, defining the scales and variables). These are the main file systems which will enable the researcher to perform efficiency test.

Defining the case study

A case study was considered, which will help to understand the importance of using data envelopment analysis. In this module, 10 banks will be benchmarked for efficiency on different input and output variables. Out of the 10 Indian banks considered for the study, where 5 each from the public sector and the private sector banks have been identified for the research. The main objective of the study was to find the efficiency levels of the banks and enable a comparative analysis for same. In the study, two input variables (Total Capital and Deposits) and two output variables (Total Loans and Profits) have been considered. The importance of taking Total Capital and Deposits as the input variables is because they act as the bank’s source of capital inflow which helps the banks for outflow i.e. Loans and Net Profits. Any finances that inflow in an organization to help improve services, compete and survive are input Here, the input variables and output variables were extracted from the Annual Reports of the respective banks of FY-2016. Moreover, literature can be consulted for more similar input variables and output variables of banking sectors.

In the next article, how to import data and define variables and files names will be shown in DEAP v2.0.

References

  • Beasley, J. E. (2017). Data envelopment analysis. Retrieved from http://people.brunel.ac.uk/~mastjjb/jeb/or/dea.html.
  • Chambers, J. M. (2008). Software for data analysis. Programming with R. https://doi.org/10.1007/978-0-387-75936-4.
  • Coelli, T. J. (2008). A Guide to DEAP Version 2.1: A Data Envelopment Analysis (Computer) Program. CEPA Working Papers, 1–50. Retrieved from https://absalon.itslearning.com/data/ku/103018/publications/coelli96.pdf.
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05/14/2007

Category: Business
Description of KonSi Software for Data Envelopment Analysis and Benchmarking 75 units maximum provides performance measurement using Data Envelopment Analysis (DEA). It is widely adopted in different business-unit based enterprises. KonSi Data Envelopment Analysis for Benchmarking 75 units is easy to apply to various practical tasks, when the analyst has to evaluate the efficiency of up to 75 units under benchmarking research. KonSi Data Envelopment Analysis for Benchmarking is applied to marketing research of shops, retail chains, banks, insurance companies etc. It is used as analytical tool for benchmarking and competitive intelligence. KonSi Software for Data Envelopment Analysis and Benchmarking 75 units maximum allows you to use following methods and terms of Data Envelopment Analysis models, Controlled /Uncontrolled inputs/outputs, Input minimization Output maximization models, Productive efficiency, Reference contribution, Reference set, Slacks, Targets, Superefficiency. You can get various reports on results of performance measurement as graphics, MS Word documents and MS Excel spreadsheets. KonSi Software for Data Envelopment Analysis for Benchmarking 75 units maximum is one from family of KonSi Software products.

Data Envelopment Analysis Pdf

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Data Envelopment Analysis Software Machine Learning

Data Envelopment Analysis Software Mac

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Data Envelopment Analysis Definition

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