کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
478395 | 1446081 | 2012 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Analysis of event-based, single-server nonstationary simulation responses using classical time-series models Analysis of event-based, single-server nonstationary simulation responses using classical time-series models](/preview/png/478395.png)
In this article, we present a metamodeling methodology for analyzing event-based, single-server nonstationary simulation responses that is based on the use of classical ARIMA (or SARIMA) time-series models. Some analytical results are derived for a Markovian queue and are used to evaluate the proposed methodology. The use of the corresponding procedure is illustrated on a traffic example from the simulation literature. Some conclusions are drawn and recommendations for further work are stated.
► We analyze event-based, single-server nonstationary simulation responses.
► Our approach is based on the use of classical ARIMA (or SARIMA) time-series models.
► We present unbiased estimators for the time spent in the system, or in the queue.
► Analytical results for a nonstationary M/M/1 queue derived to evaluate the approach.
► Linear and oscillatory responses are keenly captured by our approach.
Journal: European Journal of Operational Research - Volume 218, Issue 3, 1 May 2012, Pages 676–686