Numerical Methods for Simulating Transient, Stochastic Queueing Networks—II: Experimental Design
Hugo P. Simão and
Warren B. Powell
Additional contact information
Hugo P. Simão: Princeton University, School of Engineering and Applied Science, Princeton, New Jersey 08544
Warren B. Powell: Princeton University, School of Engineering and Applied Science, Princeton, New Jersey 08544
Transportation Science, 1992, vol. 26, issue 4, 312-329
Abstract:
In a companion study, Simão and Powell have introduced a numerical, discrete-time approach for simulating stochastic transient networks of bulk queues that often arise in consolidation networks. A set of approximations was proposed in order to produce a computationally tractable algorithm. This paper describes the numerical methods actually used for calculating probabilities and the results of extensive numerical experiments which test the accuracy of those approximations and the overall efficiency of the procedure, vis-à-vis the alternative Monte Carlo method.
Date: 1992
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://dx.doi.org/10.1287/trsc.26.4.312 (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:ortrsc:v:26:y:1992:i:4:p:312-329
Access Statistics for this article
More articles in Transportation Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().