Issue: 2019/Vol.29/No.3, Pages 77-98
FLEXIBLE MEASURE IN THE PRESENCE OF THE PARTIAL INPUT TO OUTPUT IMPACTS PROCESS
Cite as: R. Shakouri, M. Salahi, S. Kordrostami, J. Wu. Flexible measure in the presence of the partial input to output impacts process. Operations Research and Decisions 2019: 29(3), 77-98. DOI 10.5277/ord190306
Precise recognition of the nonparametric measurement approach in the production process and proper application of accurate techniques to categorise the variables play a key role in the process of improving performance of decision-making units (DMUs). The classical data envelopment analysis (DEA) models require that the status of all inputs and outputs measures be precisely specified in advance. However, there are situations where a performance measure can play input role for some DMUs and output role for the others. This paper introduces an approach to determine the situation of such flexibility where in the presence of resource sharing among subunits, the partial input will impact output in DEA. As a result, DMUs have a fair evaluation when compared to each other. Likewise, the maximum improvement is obtained in aggregate efficiency due to partial input to output impacts. The proposed approach is applied to a set of real data collected from 30 branches of an Iranian bank.
Keywords: data envelopment analysis, flexible measure, efficiency, integer programming, partial impact, bank industry
Received: 29 December 2018 Accepted: 16 November 2019