scholarly journals deaR-Shiny: An Interactive Web App for Data Envelopment Analysis

2021 ◽  
Vol 13 (12) ◽  
pp. 6774
Author(s):  
Rafael Benítez ◽  
Vicente Coll-Serrano ◽  
Vicente J. Bolós
Keyword(s):  
Data Envelopment Analysis ◽  
Web Application ◽  
Free Access ◽  
Data Envelopment ◽  
University Libraries ◽  
Dea Models ◽  
Web App ◽  
Using Data ◽  
Fuzzy Dea ◽  
Efficiency And Productivity

In this paper, we describe an interactive web application (deaR-shiny) to measure efficiency and productivity using data envelopment analysis (DEA). deaR-shiny aims to fill the gap that currently exists in the availability of online DEA software offering practitioners and researchers free access to a very wide variety of DEA models (both conventional and fuzzy models). We illustrate how to use the web app by replicating the main results obtained by Carlucci, Cirà and Coccorese in 2018, who investigate the efficiency and economic sustainability of Italian regional airport by using two conventional DEA models, and the results given by Kao and Liu in their papers published in 2000 and 2003, who calculate the efficiency scores of university libraries in Taiwan by using a fuzzy DEA model because they treat missing data as fuzzy numbers.

Introduction to Performance Improvement Management Software (PIM-DEA)

2015 ◽  
pp. 256-275
Author(s):  
Ali Emrouznejad ◽  
Emmanuel Thanassoulis
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Improvement ◽  
Data Envelopment ◽  
Management Software ◽  
Large Sets ◽  
Extensive Range ◽  
Dea Models ◽  
Full Capacity ◽  
Efficiency And Productivity ◽  
Theoretical Developments

This chapter provides information on the use of Performance Improvement Management Software (PIM-DEA). This advanced DEA software enables users to make the best possible analysis of the data, using the latest theoretical developments in Data Envelopment Analysis (DEA). PIM-DEA software gives full capacity to assess efficiency and productivity, set targets, identify benchmarks, and much more, allowing users to truly manage the performance of organizational units. PIM-DEA is easy to use and powerful, and it has an extensive range of the most up-to-date DEA models and which can handle large sets of data.

Using Data Envelopment Analysis to Construct Human Development Index

2017 ◽  
pp. 298-323
Author(s):  
Paulo Nocera Alves Junior ◽  
Enzo Barberio Mariano ◽  
Daisy Aparecida do Nascimento Rebelatto
Keyword(s):  
Data Envelopment Analysis ◽  
Human Development ◽  
Human Development Index ◽  
Data Envelopment ◽  
Data Normalization ◽  
Weighting Schemes ◽  
Development Index ◽  
Dea Models ◽  
Kendall Correlation ◽  
Using Data

This chapter addresses problems related to methodological issues, such as data normalization, weighting schemes, and aggregation methods, encountered in the construction of composite indicators to measure socio-economic development and quality of life. It also addresses the use of several Data Envelopment Analysis (DEA) models to solve these problems. The models are discussed and applied in constructing a Human Development Index (HDI), derived from the most recent raw and normalized data, using arithmetic and geometric means to aggregate the indices. Issues related to data normalization and weighting schemes are emphasized. Kendall Correlation was applied to analyze the relationship between ranks obtained by DEA models and HDI. Recommendations regarding the advantages and disadvantages of using DEA models to construct HDI are offered.

scholarly journals Classification of Hospital Web Security Efficiency Using Data Envelopment Analysis and Support Vector Machine

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Han-Ying Kao ◽  
Tao-Ku Chang ◽  
Yi-Cheng Chang
Keyword(s):  
Support Vector Machine ◽  
Data Envelopment Analysis ◽  
Web Security ◽  
Support Vector ◽  
Data Envelopment ◽  
Learning Patterns ◽  
Dea Models ◽  
Efficiency Estimation ◽  
Hybrid Data ◽  
Using Data

This study proposes the hybrid data envelopment analysis (DEA) and support vector machine (SVM) approaches for efficiency estimation and classification in web security. In the proposed framework, the factors and efficiency scores from DEA models are integrated with SVM for learning patterns of web security performance and provide further decision support. The numerical case study of hospital web security efficiency is demonstrated to support the feasibility of this design.

scholarly journals Modified Fuzzy Data Envelopment Analysis Models

2020 ◽  
Vol 3 (3b) ◽  
pp. 208-221
Author(s):  
IJ DIKE
Keyword(s):  
Data Envelopment Analysis ◽  
Lower Bound ◽  
Uncertain Data ◽  
Interval Data ◽  
Data Envelopment ◽  
Or Efficiency ◽  
Input And Output ◽  
Dea Models ◽  
Relative Productivity ◽  
Fuzzy Dea

This paper examines the use of data envelopment analysis (DEA) in the conduct of efficiency measurement involving fuzzy (interval) input-output values. Data envelopment analysis is a linear programming method for comparing the relative productivity (or efficiency) of multiple service units. Standard DEA models assume crisp data for both the input and output values. In practice however, input and output values may be uncertain, vague, imprecise or incomplete. A new pair of fuzzy DEA models is presented which differs from existing fuzzy DEA models handling uncertain data. In this approach, upper bound interval data are used exclusively to obtain the upper frontier values while lower bound interval data are used exclusively to obtain the lower frontier values. The outcome, when compared with the outcome of existing approach, based on the same set of data, shows a swap in the upper and lower frontier values with exactly the same number of efficient decision making units (DMUs). This new approach therefore clears the ambiguity occasioned by the mixture of upper and lower bound values in the determination of the upper and lower frontier efficiency scores respectively.

ECOEFFICIENCY MEASUREMENT USING DATA ENVELOPMENT ANALYSIS: RESEARCH AND PRACTITIONER ISSUES

2004 ◽  
Vol 06 (01) ◽  
pp. 91-123 ◽  
Author(s):  
JOSEPH SARKIS ◽  
SRINIVAS TALLURI
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Performance ◽  
Published Data ◽  
Data Envelopment ◽  
Environmentally Conscious ◽  
Use Of Data ◽  
Dea Models ◽  
Using Data ◽  
Environmental Performance Evaluation ◽  
Insight Into

Ecoefficiency is critical for organisations that seek to be both environmentally conscious and profitable. Ecoefficiency has implications for a "win-win" situation to arise. Studying and managing organisations from this perspective requires an evaluation of ecoefficiency. To aid researchers and managers develop measures for ecoefficiency we review the use of data envelopment analysis (DEA) for this purpose. DEA theory and application has increased greatly. Its use as a tool for environmental performance evaluation has been limited. In this paper we provide a number of DEA models and some extensions and how they can be utilised from both the practitioner and researcher perspective. An illustrative example from published data helps to gain insight into the various models, their capabilities and limitations.

scholarly journals ANALISIS KINERJA INDUSTRI MANUFAKTUR DI INDONESIA

2017 ◽  
Vol 17 (1) ◽  
pp. 183
Author(s):  
Etty Puji Lestari ◽  
Isnina WSU
Keyword(s):  
Data Envelopment Analysis ◽  
Market Share ◽  
Manufacturing Industry ◽  
Manufacturing Sector ◽  
Government Policies ◽  
Data Envelopment ◽  
Industry Development ◽  
Industry Sector ◽  
Using Data ◽  
Efficiency And Productivity

The problems on the manufacturing industry in Indonesia, among others, the disparity level of efficiency and productivity of each sub-sector of the manufacturing industry in Indonesian. This occurs due to the imbalance in the structure and dominant market share for some particular type of business in each sub-sector is in the manufacturing sector. The study will analyze the performance of the manufacturing industry in Indonesia using Data Envelopment Analysis. The study states that there is a difference of efficiency at every level of the industry. Therefore, government policies relating to industry development is absolutely necessary to improve the performance of the industry sector.

scholarly journals Fuzzy Data envelopment Analysis with SBM using α-level Fuzzy Approach

2019 ◽  
pp. 481-501
Author(s):  
Qaiser Farooq Dar ◽  
Ahn Young Hyo ◽  
Gulbadian Farooq Dar ◽  
Shariq Ahmad Bhat ◽  
Arif Muhammad Tali ◽  
...  
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Fuzzy Data ◽  
Fuzzy Approach ◽  
Discrimination Power ◽  
Sbm Model ◽  
Fuzzy Data Envelopment Analysis ◽  
Dea Models ◽  
Α Level ◽  
Fuzzy Dea

The applications of fuzzy analysis in data-oriented techniques are the challenging aspect in the field of applied operational research. The use of fuzzy set theoretic measure is explored here in the context of data envelopment analysis (DEA) where we are utilizing the fuzzy α-level approach in the three types of efficiency models. Namely, BCC models, SBM model and supper efficiency model in DEA. It was observed from the result that the fuzzy SBM model has good discrimination power over fuzzy BCC. On the other side, both the models fuzzy BCC and fuzzy SBM are not able to make the genuine ranking which is acceptable for all. So this weakness is overcome with the help of fuzzy super SBM model and all three models are applied to illustrate the types of decisions and solutions that are achievable when the data are vague and prior information is in imprecise. In this paper, we are considering that our inputs and outputs are not known with absolute precision in DEA and here, we using Fuzzy-DEA models based on an α-level fuzzy approach to assessing fuzzy data.

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