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Using discrete event simulation to fit probability distributions for autocorrelated service times

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Araghi, Mojtaba and Balcıoğlu, Barış (2020) Using discrete event simulation to fit probability distributions for autocorrelated service times. INFOR: Information Systems and Operational Research, 58 (1). pp. 124-140. ISSN 0315-5986 (Print) 1916-0615 (Online)

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Official URL: http://dx.doi.org/10.1080/03155986.2019.1624474

Abstract

In the literature, it has been shown that autocorrelation in service times has a dramatic impact on performance measures in delay systems. Although some studies deal with systems having autocorrelated service times, a general renewal approximation methodology that can incorporate this information in analytical models has not been previously proposed. In this paper, we develop a discrete event simulation based analytical method to fit approximating distributions to capture the characteristics of autocorrelated service times. Our observations indicate that a single approximating service time distribution fails to accurately predict the behaviour of the delay system. Therefore, we include the server utilization information in the developed method, which, in turn, provides a family of approximating service times. Testing our approximation both in predicting the mean delay and the system size distribution of the original systems with autocorrelated service times proves that it is highly accurate.

Item Type:Article
Uncontrolled Keywords:Autocorrelation, index of dispersion, mean waiting time, queueing, make-to-stock queues
Subjects:Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
ID Code:39890
Deposited By:Barış Balcıoğlu
Deposited On:12 May 2020 13:17
Last Modified:12 May 2020 13:17

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