Queue time approximation for a production line with large variability

Queuing networks are surprisingly common in a wide range of real-life scenarios. They can be found in service systems like commercial, transportation, internal and even social service systems. It is important to understand these queuing systems and to ensure that the systems developed are e ectiv...

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Main Author: Chua, Kurtz Yuan Feng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70830
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-708302023-03-04T18:26:23Z Queue time approximation for a production line with large variability Chua, Kurtz Yuan Feng School of Mechanical and Aerospace Engineering Wu Kan DRNTU::Engineering::Aeronautical engineering Queuing networks are surprisingly common in a wide range of real-life scenarios. They can be found in service systems like commercial, transportation, internal and even social service systems. It is important to understand these queuing systems and to ensure that the systems developed are e ective and e cient by reducing queue times (waiting time). It is however di cult to obtain the exact queue times in tan- dem queues. Many approaches have been used to approximate the exact mean queue time in a tandem queue and this article will be focusing on one of the approximation approach by Wu and McGinnis (2012). In Wu and McGinnis (2012), they showed that by exploiting the Intrinsic Ratio, the queue time can be more accurately ap- proximated in single server tandem queues. This paper aims to determine if the use of the Intrinsic Ratio will also be applicable in approximating the queue times for a tandem queue with homogeneous servers. This paper will present ndings based on the simulation of a high variability production line. The almost linear properties of the intrinsic ratio provided in this paper, will provide insights to the approximation of queue times that will be applicable to real-life manufacturing processes. Bachelor of Engineering (Aerospace Engineering) 2017-05-11T08:10:04Z 2017-05-11T08:10:04Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70830 en Nanyang Technological University 67 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::Aeronautical engineering
spellingShingle DRNTU::Engineering::Aeronautical engineering
Chua, Kurtz Yuan Feng
Queue time approximation for a production line with large variability
description Queuing networks are surprisingly common in a wide range of real-life scenarios. They can be found in service systems like commercial, transportation, internal and even social service systems. It is important to understand these queuing systems and to ensure that the systems developed are e ective and e cient by reducing queue times (waiting time). It is however di cult to obtain the exact queue times in tan- dem queues. Many approaches have been used to approximate the exact mean queue time in a tandem queue and this article will be focusing on one of the approximation approach by Wu and McGinnis (2012). In Wu and McGinnis (2012), they showed that by exploiting the Intrinsic Ratio, the queue time can be more accurately ap- proximated in single server tandem queues. This paper aims to determine if the use of the Intrinsic Ratio will also be applicable in approximating the queue times for a tandem queue with homogeneous servers. This paper will present ndings based on the simulation of a high variability production line. The almost linear properties of the intrinsic ratio provided in this paper, will provide insights to the approximation of queue times that will be applicable to real-life manufacturing processes.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Chua, Kurtz Yuan Feng
format Final Year Project
author Chua, Kurtz Yuan Feng
author_sort Chua, Kurtz Yuan Feng
title Queue time approximation for a production line with large variability
title_short Queue time approximation for a production line with large variability
title_full Queue time approximation for a production line with large variability
title_fullStr Queue time approximation for a production line with large variability
title_full_unstemmed Queue time approximation for a production line with large variability
title_sort queue time approximation for a production line with large variability
publishDate 2017
url http://hdl.handle.net/10356/70830
_version_ 1759857637074141184