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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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. |
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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 |
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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. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Wu, Kan McGinnis, Leon |
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Article |
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Wu, Kan McGinnis, Leon |
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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 |
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2013 |
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https://hdl.handle.net/10356/97808 http://hdl.handle.net/10220/11268 |
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1681048402038620160 |