sensitivity analysis in two-stage dea
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abstract
data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) which uses a set of inputs to produce a set of outputs. in some cases, dmus have a two-stage structure, in which the first stage utilizes inputs to produce outputs used as the inputs of the second stage to produce final outputs. one important issue in two-stage dea is the sensitivity of the results of an analysis to perturbations in the data. the current paper looks into combined model for two-stage dea and applies the sensitivity analysis to dmus on the entire frontier. in fact, necessary and sufficient conditions for preserving a dmu's efficiency classiffication are developed when various data changes are applied to all dmus.
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Journal title:
iranian journal of optimizationجلد ۷، شماره ۲، صفحات ۸۷۲-۸۸۶
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