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Optimal Bed Allocation in Hospitals

In: Multiobjective Programming and Goal Programming

Author

Listed:
  • Xiaodong Li

    (University of Portsmouth)

  • Patrick Beullens

    (University of Portsmouth)

  • Dylan Jones

    (University of Portsmouth)

  • Mehrdad Tamiz

    (University of Portsmouth)

Abstract

In this paper a decision aiding model is introduced for optimizing the allocation of beds in a hospital. The model is based on queueing theory and goal programming (GP). Queueing theory is used to obtain some essential characteristics of access to various departments (or specialities) within the hospital. Results from the queueing models are used to construct a multi-objective decision aiding model in the GP framework, taking account of targets and objectives related to customer service and profits from the hospital manager and all department heads. The model is developed for a public hospital in China. The performance of the model and implications for hospital management are presented.

Suggested Citation

  • Xiaodong Li & Patrick Beullens & Dylan Jones & Mehrdad Tamiz, 2009. "Optimal Bed Allocation in Hospitals," Lecture Notes in Economics and Mathematical Systems, in: Vincent Barichard & Matthias Ehrgott & Xavier Gandibleux & Vincent T'Kindt (ed.), Multiobjective Programming and Goal Programming, pages 253-265, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-85646-7_24
    DOI: 10.1007/978-3-540-85646-7_24
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    Cited by:

    1. Jian Chang & Lingjuan Zhang, 2019. "Case Mix Index weighted multi-objective optimization of inpatient bed allocation in general hospital," Journal of Combinatorial Optimization, Springer, vol. 37(1), pages 1-19, January.

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