Classifying inputs and outputs in data envelopment analysis |
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Authors: | Wade D. Cook Joe Zhu |
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Affiliation: | 1. Department of Management Science, Schulich School of Business, York University, Toronto, Ont., Canada M3J 1P3;2. Department of Management, Worcester Polytechnic Institute, Worcester, MA 01609, USA |
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Abstract: | In conventional data envelopment analysis it is assumed that the input versus output status of each of the chosen performance measures is known. In some situations, however, certain performance measures can play either input or output roles. We refer to these performance measures as flexible measures. This paper presents a modification of the standard constant returns to scale DEA model to accommodate such flexible measures. Both an individual DMU model and an aggregate model are suggested as methodologies for deriving the most appropriate designations for flexible measures. We illustrate the application of these models in two practical problem settings. |
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Keywords: | DEA Variable status Flexible inputs Flexible outputs Efficiency |
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