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Probability Functions for Waiting Times in Single-Channel Queues, with Emphasis on Simple Approximations

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  • L. R. Saunders

    (Balm Paints, Ltd., Melbourne, Australia)

Abstract

One approach to the waiting-time problem is through the integral equation, whose solution is the cumulative probability function---the method derived by Lindley. The equation is of the type for which a general solution was developed by Wiener and Hopf, and an adaptation of their method is presented in this paper. A quite wide range of arrival and service-time distributions can be accommodated, and approximations for the tail of the density curve are readily found. This is a convenient property, because the useful information about waiting times is fully provided by the mean value and the tail of the curve. The approximation process occurs within the solution, giving a reduction in the total mathematical labor compared with the forming of an approximation from an exact final formula.

Suggested Citation

  • L. R. Saunders, 1961. "Probability Functions for Waiting Times in Single-Channel Queues, with Emphasis on Simple Approximations," Operations Research, INFORMS, vol. 9(3), pages 351-362, June.
    • Handle: RePEc:inm:oropre:v:9:y:1961:i:3:p:351-362
    DOI: 10.1287/opre.9.3.351
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