A demonstration of machine learning for explicit functions for cycle time prediction using MES data
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- @InProceedings{Can:2016:WSC,
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author = "Birkan Can and Cathal Heavey",
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booktitle = "2016 Winter Simulation Conference (WSC)",
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title = "A demonstration of machine learning for explicit
functions for cycle time prediction using MES data",
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year = "2016",
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pages = "2500--2511",
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abstract = "Cycle time prediction represents a challenging problem
in complex manufacturing scenarios. This paper
demonstrates an approach that uses genetic programming
(GP) and effective process time (EPT) to predict cycle
time using a discrete event simulation model of a
production line, an approach that could be used in
complex manufacturing systems, such as a semiconductor
fab. These predictive models could be used to support
control and planning of manufacturing systems. GP
results in a more explicit function for cycle time
prediction. The results of the proposed approach show a
difference between 1-6percent on the demonstrated
production line.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/WSC.2016.7822289",
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month = dec,
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notes = "Also known as \cite{7822289}",
- }
Genetic Programming entries for
Birkan Can
Cathal Heavey
Citations