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On selecting a process with the smallest number of unfortunate events

Author

Listed:
  • M S Mulekar

    (University of South Alabama)

  • F J Matejcik

    (South Dakota School of Mines)

Abstract

Managers often desire to assign resources to minimize balking in service systems. Discrete event simulations are often used to study alternative assignments. When the distribution of the number of balking events in a business day is approximated by a Poisson distribution, the objective becomes that of selecting a population corresponding to the smallest mean number of unfortunate events. A procedure for selecting a Poisson population with the smallest mean is described in which the selection is carried out based on a random sample of size n from each population. Examples of a bank lobby and manufacturing process are used to illustrate this procedure.

Suggested Citation

  • M S Mulekar & F J Matejcik, 2006. "On selecting a process with the smallest number of unfortunate events," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(4), pages 416-422, April.
    • Handle: RePEc:pal:jorsoc:v:57:y:2006:i:4:d:10.1057_palgrave.jors.2602001
    DOI: 10.1057/palgrave.jors.2602001
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