Avoiding dissimilarity between the weights of the optimal DEA solutions

The zero weights in data envelopment analysis evaluation causes some problems such as ignoring the some inputs and/or outputs of DMUs under evaluation. Moreover, some authors claimed that the great differences in weights might be a problem. The aim of this paper is to extend the multiplier bound app...

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Bibliographic Details
Published in:Opsearch 2020-06, Vol.57 (2), p.364-375
Main Author: Akbarian, Dariush
Format: Article
Language:English
Subjects:
Application Article
Business and Management
Data envelopment analysis
Decision making units
Management
Mathematical models
Mathematics
Operations research
Operations Research/Decision Theory
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Summary:The zero weights in data envelopment analysis evaluation causes some problems such as ignoring the some inputs and/or outputs of DMUs under evaluation. Moreover, some authors claimed that the great differences in weights might be a problem. The aim of this paper is to extend the multiplier bound approach to avoid zero weights and great differences in the values of multipliers more. We show that our proposed model is equivalent to the type I assurance region model that will be used in the evaluation efficiency.
ISSN:0030-3887
0975-0320
DOI:10.1007/s12597-019-00392-1