A modified slacks-based measure model for data envelopment analysis with ‘natural’ negative outputs and inputs

A modified slacks-based measure model for data envelopment analysis with ‘natural’ negative outputs and inputs

0.00 Avg rating0 Votes
Article ID: iaor20084182
Country: United Kingdom
Volume: 58
Issue: 12
Start Page Number: 1672
End Page Number: 1677
Publication Date: Dec 2007
Journal: Journal of the Operational Research Society
Authors: , ,
Keywords: measurement
Abstract:

This paper is primarily concerned with data envelopment analysis (DEA) of systems where negative outputs and negative inputs arise naturally. Examples of situations in which both negative inputs and negative outputs occur are given. More attention has been paid, in the literature, to the former type of problem. Most available DEA software does not solve this type of problem or copes with negative outputs and possibly negative inputs by assigning zero weights to them. A modified slacks-based measure (MSBM) model is presented, in which both negative outputs and negative inputs occur. The MSBM model overcomes the lack of translation invariance in the slacks-based measure model by drawing on the ideas from the range directional model (RDM). The MSBM model takes into account individual input and output slacks, which provides more precise evaluation of inefficient decision-making units (DMUs). It therefore, generally leads to lower efficiencies for inefficient DMUs than the RDM.

Reviews

Required fields are marked *. Your email address will not be published.