Title
Inverse data envelopment analysis model to preserve relative efficiency values: The case of variable returns to scale
Abstract
This paper studies the inverse Data Envelopment Analysis (inverse DEA) for the case of variable returns to scale (inverse BCC). The developed inverse BCC model can preserve relative efficiency values of all decision making units (DMUs) in a new production possibility set composing of all current DMUs and a perturbed DMU with new input and output values. We consider the inverse BCC model for a resource allocation problem, where increases of some outputs and decreases of the other outputs of the considered DMU can be taken into account simultaneously. The inverse BCC problem is in the form of a multi-objective nonlinear programming model (MONLP), which is not easy to solve. We propose a linear programming model, which gives a Pareto-efficient solution to the inverse BCC problem. However, there exists at least an optimal solution to the proposed model if and only if the new output vector is in the set of current production possibility set. The proposed approach is illustrated via a case study of a motorcycle-part company.
Year
DOI
Venue
2011
10.1016/j.cie.2011.06.014
Computers & Industrial Engineering
Keywords
Field
DocType
linear programming model,multi-objective nonlinear programming model,inverse dea,variable return,relative efficiency value,performance analysis,inverse bcc,inverse bcc problem,efficiency,inverse data,current production possibility set,inverse bcc model,new input,inverse data envelopment analysis,data envelopment analysis,envelopment analysis model,inverse optimization,resource allocation
Efficiency,Inverse,Mathematical optimization,Economics,Nonlinear programming,Input/output,Resource allocation,Data envelopment analysis,Linear programming,Operations management,Returns to scale
Journal
Volume
Issue
ISSN
61
4
Computers & Industrial Engineering
Citations 
PageRank 
References 
7
0.70
7
Authors
3
Name
Order
Citations
PageRank
Saowanee Lertworasirikul11928.57
Peerayuth Charnsethikul281.74
Shu-Cherng Fang3115395.41