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An analytic model for capacity planning of prisons in the Netherlands

Author

Listed:
  • R Korporaal

    (Erasmus Universiteit)

  • A Ridder

    (Vrije Universiteit)

  • P Kloprogge

    (Point Logic Systems)

  • R Dekker

    (Erasmus Universiteit)

Abstract

In this paper we describe a decision support system developed to help in assessing the need for various types of prison cells. In particular we predict the probability that a criminal has to be sent home because of a shortage of cells. The problem is modelled through a queuing network with blocking after service. The main objective of our study is to describe our analytical method and an approximate algorithm to solve this network. Through simulation studies we evaluate our method. Both the analytic and the simulation tool are elements of the decision support system.

Suggested Citation

  • R Korporaal & A Ridder & P Kloprogge & R Dekker, 2000. "An analytic model for capacity planning of prisons in the Netherlands," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1228-1237, November.
    • Handle: RePEc:pal:jorsoc:v:51:y:2000:i:11:d:10.1057_palgrave.jors.2601021
    DOI: 10.1057/palgrave.jors.2601021
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    Citations

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    Cited by:

    1. Osorio, Carolina & Wang, Carter, 2017. "On the analytical approximation of joint aggregate queue-length distributions for traffic networks: A stationary finite capacity Markovian network approach," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 305-339.
    2. Palmer, Geraint I. & Harper, Paul R. & Knight, Vincent A., 2018. "Modelling deadlock in open restricted queueing networks," European Journal of Operational Research, Elsevier, vol. 266(2), pages 609-621.
    3. Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.
    4. A A Tako & S Robinson, 2009. "Comparing discrete-event simulation and system dynamics: users' perceptions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 296-312, March.
    5. Osorio, Carolina & Bierlaire, Michel, 2009. "An analytic finite capacity queueing network model capturing the propagation of congestion and blocking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 996-1007, August.

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