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An extended data envelopment analysis for the decision-making

Based on the CCR model, we propose an extended data envelopment analysis to evaluate the efficiency of decision making units with historical input and output data. The contributions of the work are threefold. First, the input and output data of the evaluated decision making unit are variable over ti...

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Detalles Bibliográficos
Autores principales: Meng, Xiao-Li, Shi, Fu-Gui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624985/
https://www.ncbi.nlm.nih.gov/pubmed/29046603
http://dx.doi.org/10.1186/s13660-017-1502-0
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author Meng, Xiao-Li
Shi, Fu-Gui
author_facet Meng, Xiao-Li
Shi, Fu-Gui
author_sort Meng, Xiao-Li
collection PubMed
description Based on the CCR model, we propose an extended data envelopment analysis to evaluate the efficiency of decision making units with historical input and output data. The contributions of the work are threefold. First, the input and output data of the evaluated decision making unit are variable over time, and time series method is used to analyze and predict the data. Second, there are many sample decision making units, which are divided into several ordered sample standards in terms of production strategy, and the constraint condition consists of one of the sample standards. Furthermore, the efficiency is illustrated by considering the efficiency relationship between the evaluated decision making unit and sample decision making units from constraint condition. Third, to reduce the computation complexity, we introduce an algorithm based on the binary search tree in the model to choose the sample standard that has similar behavior with the evaluated decision making unit. Finally, we provide two numerical examples to illustrate the proposed model.
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spelling pubmed-56249852017-10-16 An extended data envelopment analysis for the decision-making Meng, Xiao-Li Shi, Fu-Gui J Inequal Appl Research Based on the CCR model, we propose an extended data envelopment analysis to evaluate the efficiency of decision making units with historical input and output data. The contributions of the work are threefold. First, the input and output data of the evaluated decision making unit are variable over time, and time series method is used to analyze and predict the data. Second, there are many sample decision making units, which are divided into several ordered sample standards in terms of production strategy, and the constraint condition consists of one of the sample standards. Furthermore, the efficiency is illustrated by considering the efficiency relationship between the evaluated decision making unit and sample decision making units from constraint condition. Third, to reduce the computation complexity, we introduce an algorithm based on the binary search tree in the model to choose the sample standard that has similar behavior with the evaluated decision making unit. Finally, we provide two numerical examples to illustrate the proposed model. Springer International Publishing 2017-10-02 2017 /pmc/articles/PMC5624985/ /pubmed/29046603 http://dx.doi.org/10.1186/s13660-017-1502-0 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Meng, Xiao-Li
Shi, Fu-Gui
An extended data envelopment analysis for the decision-making
title An extended data envelopment analysis for the decision-making
title_full An extended data envelopment analysis for the decision-making
title_fullStr An extended data envelopment analysis for the decision-making
title_full_unstemmed An extended data envelopment analysis for the decision-making
title_short An extended data envelopment analysis for the decision-making
title_sort extended data envelopment analysis for the decision-making
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5624985/
https://www.ncbi.nlm.nih.gov/pubmed/29046603
http://dx.doi.org/10.1186/s13660-017-1502-0
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