dc.contributor.authorWong, Lisa Ley Yien
dc.date.accessioned2017-05-11T05:29:22Z
dc.date.available2017-05-11T05:29:22Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/70777
dc.description.abstractMuch effort has been put into computing queue times for tandem queue networks as they form a paramount structure of the queuing network. However, it is highly challenging and time consuming to determine the exact queue times. Researchers have proposed several approximation methods for estimating the mean queue times for single server tandem queues. Of which, one involved the exploitation of its Intrin- sic Ratio. This article proposes an approximation approach for homogeneous server two-staged tandem queues by incorporating this approximation method. Using the simulation results obtained for different cases, while varying number of servers in each stage, service time, sample size etc, behavior of the queue networks were stud- ied by observing its intrinsic ratio and intrinsic gap. This study aims to establish a homogeneous trend between intrinsic ratio and traffic intensity, by observing how the intrinsic ratio varies of traffic intensity for each queue setting. Wu and McGinnis (2012) determined that intrinsic ratios are relatively constant as utilization increases for single server tandem queues with squared coefficient of variance less than one. Therefore, this paper also aims to determine if such properties also apply to tandem queues with homogeneous servers. Using the trends identified, backed with mathe- matical formulas, an accurate approximation of queue time can be determined.en_US
dc.format.extent91 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Aeronautical engineeringen_US
dc.titleQueue time analysis for a production line with small variabilityen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWu Kanen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor of Engineering (Aerospace Engineering)en_US


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