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

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 & 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.

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