A Unified Parallel DEA Model and Efficiency Modeling of Multi-Activity and/or Non-Homogeneous Activity
Year: 2018
Author: W. F. Shen, Z. B. Zhou, P. D. Liu, Q. Y. Jin, W. B. Liu, Huayong Niu
International Journal of Numerical Analysis and Modeling, Vol. 15 (2018), Iss. 3 : pp. 370–391
Abstract
Data envelopment analysis (DEA), as originally proposed, is a methodology for evaluating the relative efficiencies of peer decision making units (DMUs) under some general assumptions. DEA models with non-homogeneous DMUs and multi-activity structures are two different subjects referring to relaxing various assumptions. In this paper, we show that these two formulations are both derived by embedding the corresponding process into a general parallel DEA model. Furthermore, following the parallel DEA framework, general DEA models for multi-activity and non-homogeneity are proposed, which are able to handle many situations where different aspects of non-homogeneity or multi-activities exist. This study provides important insights into the existing DEA models for non-homogeneity and multi-activity.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2018-IJNAM-12521
International Journal of Numerical Analysis and Modeling, Vol. 15 (2018), Iss. 3 : pp. 370–391
Published online: 2018-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 22
Keywords: Data envelopment analysis parallel model multi-activity non-homogeneous.