Abstract
Constrained facet analysis is used to evaluate decision making units (DMUs) which have non-zero slacks in data envelopment analysis (DEA) by requiring a full dimensional efficient facet (FDEF). The current paper shows that the FDEF-based approach may deem those extreme efficient DMUs which are not located on any FDEF as inefficient. Using strong complementary slackness condition (SCSC) solutions, this paper develops an alternative method for the treatment of non-zero slack values in DEA. The newly proposed method can deal with the situation when FDEFs do not exist.
Joe Zhu wants to thank the financial support from the Japan Society for Promotion of Science (JSPS). The paper was finished while Joe Zhu was visiting the Osaka University under the JSPS Invitation Research Fellowship.
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© 2003 Springer-Verlag Berlin Heidelberg
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Chen, Y., Morita, H., Zhu, J. (2003). An Approach for Determining DEA Efficiency Bounds. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_12
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DOI: https://doi.org/10.1007/978-3-540-36510-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00653-4
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