Abstract
The DEA methodology concerns the efficiency measurement of production systems that apply multiple inputs to produce multiple outputs. Under normal conditions, it is desirable to have less input consumed and more output produced, because this leads to higher efficiencies. With regard to inefficient DMUs, improvement targets can be obtained to make them more efficient. However, there are cases in which the decision maker has no control over the input and output factors, in that the amounts of some factors cannot be adjusted at the discretion of the decision maker. The conventional DEA models introduced in the preceding chapters are either unable to handle or will produce misleading results for these cases. This chapter discusses two of the cases, non-discretionary and undesirable factors.
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Kao, C. (2017). Special Types of Input and Output Factors. In: Network Data Envelopment Analysis. International Series in Operations Research & Management Science, vol 240. Springer, Cham. https://doi.org/10.1007/978-3-319-31718-2_6
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DOI: https://doi.org/10.1007/978-3-319-31718-2_6
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