Simulation of High Precision Process Control for Set-up Dominant Processes

Cox, Steven; Garside, John; Kotsialos, Apostolos

doi:10.1016/j.procir.2013.07.027

Simulation of High Precision Process Control for Set-up Dominant Processes

Cox, Steven; Garside, John; Kotsialos, Apostolos

Authors

Steven Cox

John Garside

Apostolos Kotsialos

Abstract

The main focus of this paper is to use discrete-event simulation models, to test the robustness of two process control methods against processes with different statistical distributions. The two methods under scrutiny are the Small-Batch Full-size image (3 K) & R chart and the Set-Up Process Algorithm (SUPA). These have been developed for ‘setup dominant processes’, were the major source of product variation is detected between batches. Minimizing this type of variation is critical to ensure spare parts produced at a later date will fit in operating assemblies, maintaining a Through-life Engineering Service. This paper shows their suitability to industry.

Citation

Cox, S., Garside, J., & Kotsialos, A. (2013). Simulation of High Precision Process Control for Set-up Dominant Processes. . https://doi.org/10.1016/j.procir.2013.07.027

Acceptance Date	Jul 31, 2013
Publication Date	Sep 27, 2013
Deposit Date	Oct 7, 2013
Publicly Available Date	Oct 30, 2015
Volume	11
Pages	379-384
Series ISSN	2212-8271
DOI	https://doi.org/10.1016/j.procir.2013.07.027
Keywords	SPC, Statistical process control, Set-up dominance, Low-volume