SPC & Analytical Process Improvement.

Information | Understanding | Best Practice.

“Explains statistical methods in a clear manner”. … (J. Anatol. Process Improvement Engineer. Siemens A.G.).
“Easy to use” … (B. Stoke. Quality Assurance. JDR Cable Systems).

Statistical Tools for Product and Process Improvement.

Techniques for understanding and improving process performance.

SPC & the widely applied Analytical Methods for Process Improvement explained.
Develop your ability to deliver product and process improvement.
Use to enhance your personal understanding, for personal professional development, as a support in the training of your work peers.
Access online, when and where suits you.
Over 500 pages of visual information.
Price $59.
Standard price $119. (50% Off). Ends Friday 14th May.

Develop your capability to deliver improvement via …

Statistical Process Control:
• The objectives and benefits of SPC.
• Introduction to statistics underlying SPC.
• Special and common cause of variation.
• Variation in processes.
• Calculation of basic statistics.

Process Capability Analysis:
• Process capability studies.
• Process performance metrics.
• Process capability indices Cp, Cpk, Cpm, Capability ratio.
• Performance indices Pp and Ppk.

The “Pre-Control” Process:
• The application of “Pre-Control” as an alternative to SPC.

Short-Run Statistical Methods:
• The use of statistical analysis where there are small volumes.

Measurement Systems Analysis – Gauge R&R:
• Performing, analysis and interpretation.

Types of Control Charts:
• Variable control charts.
• Attribute charts.
• Pareto Charts.
• X-Bar / Range Charts.
• X-Bar / Sigma Charts.
• Individual-X Charts (X-Charts).
• Histograms / Process Capability Analysis.
• Scatter Diagrams.
• Exponentially Weighted Moving Average (EWMA) Chart.
• CuSum Chart.
• Moving Average / Range Chart.
• Moving Average / Sigma Chart.
• Multivariate Chart.
• p, np, c, and u charts.

• The advantages/disadvantages of Attribute control charts versus Variable control charts.
• Interpreting the charts using the rules for determining statistical control.

Applying Statistical Techniques to Product and Process improvement:
• On-going monitoring and continuous improvement.