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Measure-Specific DEA Models

In: Quantitative Models for Performance Evaluation and Benchmarking

Author

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  • Joe Zhu

    (Worcester Polytechnic Institute)

Abstract

Although DEA does not need a priori A priori information on the underlying functional forms and weights among various input and output measures, it assumes proportional improvements of inputs or outputs. This assumption becomes invalid when a preference structure Preference structureSee DEA/preference structure (DEA/PS) models over the improvement of different inputs (outputs) is present in evaluating (inefficient) DMUs (see also Chap. 7). We need models where a particular set of performance measures is given pre-emptive priority Priority to improve.

Suggested Citation

  • Joe Zhu, 2014. "Measure-Specific DEA Models," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 6, pages 103-119, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-06647-9_6
    DOI: 10.1007/978-3-319-06647-9_6
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    Cited by:

    1. Shulei Cheng & Wei Fan & Jianlin Wang, 2022. "Investigating the humanitarian labor efficiency of China: a factor-specific model," Annals of Operations Research, Springer, vol. 319(1), pages 439-461, December.

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