Abstract
Queueing models can be used to evaluate the performance of manufacturing systems. Due to the emergence of cluster tools in contemporary production systems, proper queueing models have to be derived to evaluate the performance of machines with complex configurations. Job cascading is a common structure among cluster tools. Because of the blocking and starvation effects among servers, queue time analysis for a cluster tool with job cascading is difficult in general. Based on the insight from the reduction method, we proposed the approximate model for the mean queue time of a cascading machine subject to breakdowns. The model is validated by simulation and performs well in the examined cases.
Original language | English |
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Title of host publication | 2016 Winter Simulation Conference |
Subtitle of host publication | Simulating Complex Service Systems, WSC 2016 |
Editors | Theresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2664-2675 |
Number of pages | 12 |
ISBN (Electronic) | 9781509044863 |
DOIs | |
State | Published - 02 07 2016 |
Externally published | Yes |
Event | 2016 Winter Simulation Conference, WSC 2016 - Arlington, United States Duration: 11 12 2016 → 14 12 2016 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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Volume | 0 |
ISSN (Print) | 0891-7736 |
Conference
Conference | 2016 Winter Simulation Conference, WSC 2016 |
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Country/Territory | United States |
City | Arlington |
Period | 11/12/16 → 14/12/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.