Probability Functions for Waiting Times in Single-Channel Queues, with Emphasis on Simple Approximations
L. R. Saunders
Additional contact information
L. R. Saunders: Balm Paints, Ltd., Melbourne, Australia
Operations Research, 1961, vol. 9, issue 3, 351-362
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.
Date: 1961
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/opre.9.3.351 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:9:y:1961:i:3:p:351-362
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().