GEMBA KAIZEN TRAINING INSTITUTE

Statistical Process Control Training
(SPC Training)

Statistical Process Control (SPC) and other quality tools being introduced in this workshop will help you significantly improve the quality of the finished article or service. Statistical process control (SPC) involves using techniques to measure, analyse and control variation in processes. Some companies are still traditionally endeavouring to achieve quality through multiple layers of 100% inspection. Accepting or rejecting each article or process outcome based on how well it met its individually interpreted quality standard or design specification. In contrast to an inspection based system, Statistical Process Control uses tools to observe or monitor the performance of the production or service process’s tendency to vary in order to predict an outcome that if not corrected may later result in rejected product BEFORE IT HAPPENS. Thus SPC is known as a prevention and prediction tool for quality.

Benefits:
Provides a method of surveillance and feedback for keeping processes in control.
Signals when a problem with the process has begun and is about to affect quality adversely.
Detects assignable causes of variation or root causes.
Accomplishes process characterisation, trends and patterns.
Reduces the need for inspection due to predictability.
Monitors process quality at the source.
Provides a mechanism to make process changes and track the effects of those changes.
Once causes of variation have been eliminated, SPC provides ongoing process capability analysis with comparison to the desired outcome.

Contents
Session One (full day) Introduction to Statistical Process Control
7 Tools of Quality DMAIC – PDCA - SIPOC
Critical to Quality
Variables – Attributes
Understanding Variation
Measurement R&R
Process Stability & Capability
SPC Control Carts & their rules
Assignment of workplace SPC projects

Session Two (evening)
Presentation, review and discussion
SPC workplace projects.
Common Causes – Special
Design / Variation Separation
Process Trends and Adjustment
Variation reduction
Quality / Variation problem solving


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