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Introduction to SPC (Statistical Process Control)
FUNDAMENTALS of SPC - COURSE RESUMÉ
The objective of this course is to give the candidate an introduction to the Statistical Process Control as intended to be used in the automotive industry manufacturing.
The course kicks off with the basic philosophy of using statistics as a means for Process Control and its advantages compared to conventional methods. This eases the candidate into the detail of the subject starting off with variability, the very phenomena to be eradicated in manufacturing or, at the very least, to be controlled. Variability is studied in preparation for how it is to be controlled (Process Control).
Histograms, is then introduced as the feedback to the variability status. The design of data recording (Frequency Recording) is visited for compatibility to histogram construction. With this, the reading, understanding and analysis of the histogram is introduced.
Distribution curves are introduced as the feedback of quality assurance status. The Normal and non Normal Distributions are introduced as the base for comparing quality requirements versus actual quality. This includes the mean, midpoint, maximum and minimum limits.
Other feedback derived from the same data, and its uses is explained.
Data collection and special calculations such as Standard Deviation is reviewed. With this, the reading, understanding and analysis of the Distribution curve is introduced.
Whilst Histograms and Distribution curves show a status at any time, Control Charts are introduced as a means for rapid, proactive control. Variable style monitoring such as X-bar and R charts and attribute style monitoring such as the P-chart are introduced. Their construction and interpretation is exercised.
Finally the candidate is furnished with a set of blank sample documents, Glossary of SPC terms and symbols used in SPC. |
