Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization

Performance evaluation plays a key role in manufacturing system design and productivity improvement. Characterizing performance objectively is the first step. Inspired by the underlying structure of tandem queues, we have derived an approximate model to characterize the system performance. The model...

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Main Authors: Wu, Kan, McGinnis, Leon
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/97808
http://hdl.handle.net/10220/11268
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-978082020-03-07T13:22:14Z Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization Wu, Kan McGinnis, Leon School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering Performance evaluation plays a key role in manufacturing system design and productivity improvement. Characterizing performance objectively is the first step. Inspired by the underlying structure of tandem queues, we have derived an approximate model to characterize the system performance. The model decomposes system queue time and variability into bottleneck and non-bottleneck parts while capturing the dependence among workstations. Compared the new model with prior approaches, the new model not only is more accurate but also requires less information. The property of manufacturing system performance is given based on the insight from the model. 2013-07-12T02:38:21Z 2019-12-06T19:46:57Z 2013-07-12T02:38:21Z 2019-12-06T19:46:57Z 2012 2012 Journal Article https://hdl.handle.net/10356/97808 http://hdl.handle.net/10220/11268 10.1016/j.ejor.2012.03.019 en European journal of operational research © 2012 Elsevier B.V.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
Wu, Kan
McGinnis, Leon
Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
description Performance evaluation plays a key role in manufacturing system design and productivity improvement. Characterizing performance objectively is the first step. Inspired by the underlying structure of tandem queues, we have derived an approximate model to characterize the system performance. The model decomposes system queue time and variability into bottleneck and non-bottleneck parts while capturing the dependence among workstations. Compared the new model with prior approaches, the new model not only is more accurate but also requires less information. The property of manufacturing system performance is given based on the insight from the model.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Wu, Kan
McGinnis, Leon
format Article
author Wu, Kan
McGinnis, Leon
author_sort Wu, Kan
title Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
title_short Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
title_full Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
title_fullStr Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
title_full_unstemmed Performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
title_sort performance evaluation for general queueing networks in manufacturing systems : characterizing the trade-off between queue time and utilization
publishDate 2013
url https://hdl.handle.net/10356/97808
http://hdl.handle.net/10220/11268
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