Inverse DEA under inter-temporal dependence using multiple-objective programming

G.R. Jahanshahloo, M. Soleimani-damaneh and S. Ghobadi

European Journal of Operational Research, 2015, vol. 240, issue 2, 447-456

Abstract: This paper deals with the inverse Data Envelopment Analysis (DEA) under inter-temporal dependence assumption. Both problems, input-estimation and output-estimation, are investigated. Necessary and sufficient conditions for input/output estimation are established utilizing Pareto and weak Pareto solutions of linear multiple-objective programming problems. Furthermore, in this paper we introduce a new optimality notion for multiple-objective programming problems, periodic weak Pareto optimality. These solutions are used in inverse DEA, and it is shown that these can be characterized by a simple modification in weighted sum scalarization tool.

Keywords: Data envelopment analysis; Inverse DEA; Inter-temporal dependence; Multiple-objective linear programming; Efficiency (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:240:y:2015:i:2:p:447-456

DOI: 10.1016/j.ejor.2014.07.002

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