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Stochastic Integer Programming in Healthcare Delivery

In: Systems Analysis Tools for Better Health Care Delivery

Author

Listed:
  • Camilo Mancilla

    (Lehigh University)

  • Robert H. Storer

    (Lehigh University)

Abstract

This chapter reviews different ways that stochastic integer programming has been used to improve efficiency and efficacy in healthcare delivery. For the purpose of this study healthcare delivery is divided into two areas: resource allocation and operations. In each area the stochastic components are identified and the algorithms and solution techniques that have been proposed in the literature are described. We conclude the discussion with the current challenges and open questions.

Suggested Citation

  • Camilo Mancilla & Robert H. Storer, 2013. "Stochastic Integer Programming in Healthcare Delivery," Springer Optimization and Its Applications, in: Panos M. Pardalos & Pando G. Georgiev & Petraq Papajorgji & Britta Neugaard (ed.), Systems Analysis Tools for Better Health Care Delivery, edition 127, pages 37-48, Springer.
    • Handle: RePEc:spr:spochp:978-1-4614-5094-8_3
    DOI: 10.1007/978-1-4614-5094-8_3
    as

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