Paper Info
Title
Relative efficiency measurement: The problem of a missing output in a subset of decision making units.
Abstract
Data envelopment analysis (DEA), as originally proposed by Charnes et al. (1978) viewed the efficiency measurement problem as one wherein each of a set of DMUs uses the same input and output measures, albeit in amounts that vary from one DMU to another. In some situations, however, the assumption that all DMUs use the same measures may fail. While there is a well known literature related to the problems of missing data and 'zeros' in the data, we argue that there is a difference between the situation where a DMU commits the resources to produce an output (but fails to do so, or else a non-zero amount exists but is unknown), and the situation where the DMU intentionally does not produce that output. In the current paper we examine the problem of measuring the efficiency of a set of steel fabrication plants wherein a subset of those plants produce one less than the full set of outputs produced by the others. We develop a DEA-type model for handling this missing output problem. (C) 2012 Elsevier B.V. All rights reserved.
Year
DOI
Venue
2012
10.1016/j.ejor.2012.01.022
European Journal of Operational Research
Keywords
Field
DocType
DEA,Missing outputs,Output bundles,Aggregate efficiency
Efficiency,Mathematical optimization,Input/output,Data envelopment analysis,Missing data,Measurement problem,Mathematics,Operations management
Journal
Volume
Issue
ISSN
220
1
0377-2217
Citations 
PageRank 
References 
7
0.94
0
Authors
4
Name
Order
Citations
PageRank
Wade D. Cook1121584.70
Julie Harrison2272.51
Paul Rouse3394.99
Joe Zhu41762167.31