Multiplier bounds in data envelopment analysis via strong complementary slackness condition solution

Multiplier bounds in data envelopment analysis via strong complementary slackness condition solution

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Article ID: iaor20041889
Country: Netherlands
Volume: 86
Issue: 1
Start Page Number: 11
End Page Number: 19
Publication Date: Jan 2003
Journal: International Journal of Production Economics
Authors: , ,
Keywords: complementarity
Abstract:

Data envelopment analysis (DEA) is a methodology for evaluating the relative efficiency of peer decision making units (DMUs) with multiple inputs and multiple outputs. In DEA evaluation, the efficiency scores for inefficient DMUs are obtained by calculating the proportional input or output changes required to reach the DEA efficient frontier. It is likely that further individual input and output changes can be made to improve the performance. Such individual changes are called DEA slacks which also represent inefficiency. Methods have been developed to deal with the non-zero DEA slacks by re-shaping the original DEA frontier. This paper develops an alternative approach to eliminate the non-zero DEA slacks while keeping the original DEA frontier unchanged.

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