Steven Cox
Discrete-event simulation of process control in low volume high value industries
Cox, Steven; Garside, John; Kotsialos, Apostolos; Shehab, Essam; Ball, Peter; Tjahjono, Benny
Authors
John Garside
Apostolos Kotsialos
Essam Shehab
Peter Ball
Benny Tjahjono
Abstract
This paper presents a new method of process control for set-up dominant processes. This new method known as Set-up Process Algorithm (SUPA) was compared with existing industrial practices and statistical techniques in the literature. To test the method’s robustness, a generic discrete-event simulation model was built. This model was used to test four different statistical approaches to process control. It was concluded that SUPA offers a method of process control for set-up dominant processes, which is easier to apply than classically derived SPC approaches, by using simple rules and a traffic light system based on design specification. Simulation analysis shows that SUPA: is more sensitive, at detecting an incapable process as it will monitor more units when a process is less capable; is more sensitive than PRE-Control at detecting mean shifts in a process. SUPA is also a nonparametric methodology and therefore robust against processes with non-Gaussian distributions.
Citation
Cox, S., Garside, J., Kotsialos, A., Shehab, E., Ball, P., & Tjahjono, B. (2013). Discrete-event simulation of process control in low volume high value industries. In Advances in manufacturing technology XXVII : proceedings of the 11th International Conference on Manufacturing Research : incorporating the 28th National Conference on Manufacturing Research (599-604)
Conference Name | 11th International Conference on Manufacturing Research (ICMR2013) |
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Conference Location | Cranfield, UK |
Publication Date | Sep 19, 2013 |
Deposit Date | Dec 10, 2015 |
Publicly Available Date | Jan 5, 2016 |
Pages | 599-604 |
Series Title | International conference on manufacturing research |
Series ISSN | 2053-3373 |
Book Title | Advances in manufacturing technology XXVII : proceedings of the 11th International Conference on Manufacturing Research : incorporating the 28th National Conference on Manufacturing Research. |
Keywords | Pre-control, Statistical process control, Process set-up. |
Publisher URL | https://dspace.lib.cranfield.ac.uk/handle/1826/9337 |
Related Public URLs | https://dspace.lib.cranfield.ac.uk/handle/1826/9516 |
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