Dealing with generalised inverse DEA models for input-output estimation

Mojtaba Ghiyasi

International Journal of Productivity and Quality Management, 2019, vol. 28, issue 4, 511-521

Abstract: This article addresses the inverse DEA models to deal with such a question: if a DMU changes some of its input (output) levels among a group of DMUs, to what extent should the unit change outputs (inputs) such that its efficiency score remains unchanged? The article unfolds some problematic aspect of inverse DEA model with saying that inverse DEA models do not work in some situations which should be considered on process of input or output estimation. This is done by proposing a numerical example and mathematical ratiocination. Additional arguments and theorems are provided to overcome to the current drawbacks. This article revises and improves the existing literature. Proposed models are illustrated using numerical examples.

Keywords: input-output estimation; inverse problem; data envelopment analysis; DEA; multiple objectives linear programming; MOLP. (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=103687 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:28:y:2019:i:4:p:511-521

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().