Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Slacks-based measurement models for estimating returns to scale

Slacks-based measurement models for estimating returns to scale Slacks-based measurement (SBM), as an important branch of data envelopment analysis (DEA) for evaluating the efficiency of decision making units (DMUs) was firstly proposed by Tone and has been well developed in different directions. Many models based on SBM have been built, such as SBM of super efficiency, SBM of network DEA, SBM of the worst-practise DEA and dynamic SBM. In this paper, we extend the SBM models in different returns to scale (RTS) and build a comprehensive SBM model. Based on the SBM models above, a new approach for estimating returns to scale of DMUs is proposed. This approach has a specific advantage that it can gain projection of inefficient observations from input-output orientation. At last, a numerical example demonstrates the process of estimating returns to scale. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

Slacks-based measurement models for estimating returns to scale

Loading next page...
 
/lp/inderscience-publishers/slacks-based-measurement-models-for-estimating-returns-to-scale-giQNMsJIe4
Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2013.052019
Publisher site
See Article on Publisher Site

Abstract

Slacks-based measurement (SBM), as an important branch of data envelopment analysis (DEA) for evaluating the efficiency of decision making units (DMUs) was firstly proposed by Tone and has been well developed in different directions. Many models based on SBM have been built, such as SBM of super efficiency, SBM of network DEA, SBM of the worst-practise DEA and dynamic SBM. In this paper, we extend the SBM models in different returns to scale (RTS) and build a comprehensive SBM model. Based on the SBM models above, a new approach for estimating returns to scale of DMUs is proposed. This approach has a specific advantage that it can gain projection of inefficient observations from input-output orientation. At last, a numerical example demonstrates the process of estimating returns to scale.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2013

There are no references for this article.