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Evaluating Power Plant Efficiency: Hierarchical Models

In: Data Envelopment Analysis

Author

Listed:
  • Wade D. Cook

    (York University)

  • D. Chai

    (York University)

  • J. Doyle

    (Cardiff University)

  • R. Green

    (University of Bath)

Abstract

In many efficiency-measurement settings there are identifiable groups or clusters of DMUs whose impacts should be captured in the analysis. In such problem settings at least two issues need to be considered. The first is that there may be both DMU-level and cluster-level factors each of which should be considered in their proper settings. The second issue is that we wish to identify both DMU-specific and DMU-cluster efficiency measures. In the current chapter we examine the problem of measuring efficiencies of a set of electric power plants, where each plant consists of a group of power units, hence clustering or grouping occurs naturally.

Suggested Citation

  • Wade D. Cook & D. Chai & J. Doyle & R. Green, 2014. "Evaluating Power Plant Efficiency: Hierarchical Models," International Series in Operations Research & Management Science, in: Wade D. Cook & Joe Zhu (ed.), Data Envelopment Analysis, edition 127, chapter 0, pages 405-430, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-8068-7_17
    DOI: 10.1007/978-1-4899-8068-7_17
    as

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