Queue time approximation for a single machine with cascading

Queueing models have been widely used to evaluate the performance of manufacturing systems. However, due to the trend of rapid growth in regards to the emergence of clustered machines in contemporary manufacturing systems, proper approximation for queueing models have to be derived in order to take...

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主要作者: Lee, Audrey Wan Ling.
其他作者: School of Mechanical and Aerospace Engineering
格式: Final Year Project
語言:English
出版: 2013
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在線閱讀:http://hdl.handle.net/10356/53993
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機構: Nanyang Technological University
語言: English
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spelling sg-ntu-dr.10356-539932023-03-04T19:26:21Z Queue time approximation for a single machine with cascading Lee, Audrey Wan Ling. School of Mechanical and Aerospace Engineering Wu Kan DRNTU::Engineering::Mechanical engineering Queueing models have been widely used to evaluate the performance of manufacturing systems. However, due to the trend of rapid growth in regards to the emergence of clustered machines in contemporary manufacturing systems, proper approximation for queueing models have to be derived in order to take the complex tool configurations into account. In this paper, the performance of simple cascading machine; a single server with an input load port is being investigated. By assuming Poisson and Gamma arrivals with Gamma/Uniform distribution for load port and service time (M/G/1 and G/G/1), simulations are carried out to study the properties and behaviours of the queueing system. The research paper started off by addressing the verification of the queueing model. Through these simulations, the variation of queue time with several factors such as inter-arrival time, mean load port and service time and variability are evaluated. This paper also proposes several possibilities for future development in this field. Bachelor of Engineering (Mechanical Engineering) 2013-06-11T04:25:39Z 2013-06-11T04:25:39Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/53993 en Nanyang Technological University 75 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Lee, Audrey Wan Ling.
Queue time approximation for a single machine with cascading
description Queueing models have been widely used to evaluate the performance of manufacturing systems. However, due to the trend of rapid growth in regards to the emergence of clustered machines in contemporary manufacturing systems, proper approximation for queueing models have to be derived in order to take the complex tool configurations into account. In this paper, the performance of simple cascading machine; a single server with an input load port is being investigated. By assuming Poisson and Gamma arrivals with Gamma/Uniform distribution for load port and service time (M/G/1 and G/G/1), simulations are carried out to study the properties and behaviours of the queueing system. The research paper started off by addressing the verification of the queueing model. Through these simulations, the variation of queue time with several factors such as inter-arrival time, mean load port and service time and variability are evaluated. This paper also proposes several possibilities for future development in this field.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Lee, Audrey Wan Ling.
format Final Year Project
author Lee, Audrey Wan Ling.
author_sort Lee, Audrey Wan Ling.
title Queue time approximation for a single machine with cascading
title_short Queue time approximation for a single machine with cascading
title_full Queue time approximation for a single machine with cascading
title_fullStr Queue time approximation for a single machine with cascading
title_full_unstemmed Queue time approximation for a single machine with cascading
title_sort queue time approximation for a single machine with cascading
publishDate 2013
url http://hdl.handle.net/10356/53993
_version_ 1759857527237902336