Paper Info
Title
Un-desirable factors in multi-component performance measurement
Abstract
Data envelopment analysis (DEA) measures the relative efficiency of decision making units (DMU) with multiple inputs and multiple outputs. These inputs and outputs are classified into two groups: desirable and undesirable. In this paper, we consider the problem of evaluating the efficiency of a set of interdependent decision making sub-units (DMSU) that interdependent DMSUs make up a larger DMU with desirable and undesirable factors.
Year
DOI
Venue
2005
10.1016/j.amc.2005.01.081
Applied Mathematics and Computation
Keywords
Field
DocType
multiple input,relative efficiency,data envelopment analysis,multi-component performance measurement,efficiency,interdependent decision,undesirable factor,un-desirable factor,interdependent dmsus,larger dmu,multiple output,undesirable factors,data envelope analysis
Efficiency,Interdependence,Mathematical optimization,Performance measurement,Data envelopment analysis,Mathematics
Journal
Volume
Issue
ISSN
171
2
Applied Mathematics and Computation
Citations 
PageRank 
References 
10
0.65
2
Authors
2
Name
Order
Citations
PageRank
Sohrab Kordrostami17613.38
Alireza Amirteimoori218223.77