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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

Steven Cox

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)
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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