Transforming renewal processes for simulation of nonstationary arrival processes

Gerhardt, Ira and Nelson, Barry L. (2009) Transforming renewal processes for simulation of nonstationary arrival processes. INFORMS Journal on Computing, 21 (4). pp. 630-640. ISSN 1091-9856

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Simulation models of real-life systems often assume stationary (homogeneous) Poisson arrivals. Therefore, when nonstationary arrival processes are required, it is natural to assume Poisson arrivals with a time-varying arrival rate. For many systems, however, this provides an inaccurate representation of the arrival process that is either more or less variable than Poisson. In this paper we extend techniques that transform a stationary Poisson arrival process into a nonstationary Poisson arrival process (NSPP) by transforming a stationary renewal process into a nonstationary, non-Poisson (NSNP) arrival process. We show that the desired arrival rate is achieved and that when the renewal base process is either more or less variable than Poisson, then the NSNP process is also more or less variable, respectively, than an NSPP. We also propose techniques for specifying the renewal base process when presented properties of, or data from, an arrival process and illustrate them by modeling real arrival data.

Item Type: Journal Article
Journal or Publication Title: INFORMS Journal on Computing
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1700/1706
Departments: Lancaster University Management School > Management Science
ID Code: 65043
Deposited By: ep_importer_pure
Deposited On: 13 Jun 2013 10:28
Refereed?: Yes
Published?: Published
Last Modified: 11 Feb 2020 08:12

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