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Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis

Author

Listed:
  • W W Cooper

    (The Red McCombs School of Business, University of Texas at Austin)

  • H Deng

    (The Red McCombs School of Business, University of Texas at Austin)

  • Z Huang

    (School of Business, Adelphi University)

  • S X Li

    (School of Business, Adelphi University)

Abstract

This paper replaces ordinary DEA formulations with stochastic counterparts in the form of a series of chance constrained programming models. Emphasis is on technical efficiencies and inefficiencies which do not require costs or prices, but which are nevertheless basic in that the achievement of technical efficiency is necessary for the attainment of ‘allocative’, ‘cost’ and other types of efficiencies.

Suggested Citation

  • W W Cooper & H Deng & Z Huang & S X Li, 2002. "Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(12), pages 1347-1356, December.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:12:d:10.1057_palgrave.jors.2601433
    DOI: 10.1057/palgrave.jors.2601433
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