Numerical methods for simulating transient, stochastic queueing networks - I: methodology

Hugo P. Simao, Warren Buckler Powell

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

The study of stochastic networks of queues in transportation has been confined to the use of highly simplified analytical models or the development of large, computationally expensive Monte Carlo simulations. We introduce a discrete-time approach for simulating stochastic, transient networks of bulk queues that often arise in consolidation networks. This paper presents the state variables and equations required to model the problem, and introduces a set of approximations to produce a computationally tractable algorithm. A companion paper describes the results of extensive numerical experiments which test the accuracy of the approximations and the overall efficiency of the procedure.

Original languageEnglish (US)
Pages (from-to)296-311
Number of pages16
JournalTransportation Science
Volume26
Issue number4
DOIs
StatePublished - Jan 1 1992

All Science Journal Classification (ASJC) codes

  • Transportation

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