Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/104585
Title: | Classification of queueing models for a workstation with interruptions : a review | Authors: | Wu, Kan | Keywords: | DRNTU::Engineering::Manufacturing::Flexible manufacturing systems | Issue Date: | 2013 | Source: | Wu, K. (2014). Classification of queueing models for a workstation with interruptions: a review. International Journal of Production Research, 52(3), 902-917. | Series/Report no.: | International Journal of Production Research | Abstract: | Queueing theory is commonly used to evaluate the performance of production systems. Due to the complexity of practical production lines, choosing correct queueing models under the existence of interruptions can be intricate, but is critical to the evaluation of system performance. This paper give a review of research in this area, proposes a systematic way to classify different types of interruptions in manufacturing systems and suggests proper queueing models for each category. The operational definition of service time is given and the decomposition properties for the run-based 10 state-induced and time-based pre-emptive events are explained. The corresponding G/G/1 approximate models are proposed. | URI: | https://hdl.handle.net/10356/104585 http://hdl.handle.net/10220/20250 |
ISSN: | 0020-7543 | DOI: | 10.1080/00207543.2013.843799 | Schools: | School of Mechanical and Aerospace Engineering | Rights: | © 2013 Taylor & Francis. This is the author created version of a work that has been peer reviewed and accepted for publication by International Journal of Production Research, Taylor & Francis. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1080/00207543.2013.843799]. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MAE Journal Articles |
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TPRS_A_843799.pdf | 2.38 MB | Adobe PDF | View/Open |
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