Volume 15, Issue 3
A Unified Parallel DEA Model and Efficiency Modeling of Multi-Activity and/or Non-Homogeneous Activity

W. F. Shen, Z. B. Zhou, P. B. Liu, Q. Y. Jin, W. B. Liu & Huayong Niu


Int. J. Numer. Anal. Mod., 15 (2018), pp. 370-391.

Published online: 2018-03

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  • 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.

  • Keywords

Data envelopment analysis parallel model multi-activity non-homogeneous.

  • AMS Subject Headings


  • Copyright

COPYRIGHT: © Global Science Press

  • Email address

wfshen@sdufe.edu.cn (W. F. Shen)

z.b.zhou@hnu.edu.cn (Z. B. Zhou)

peide.liu@gmail.com (P. B. Liu)

qianyingjin@hnu.edu.cn (Q. Y. Jin)

w.b.liu@kent.ac.uk (W. B. Liu)

ibs_niuhuayong@163.com (Huayong Niu)

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