Statistical Process Control

Published on 21 January 2020

Statistical Process Characterisation & Control (SPC) is a method of monitoring a process during its operation in order to control the quality of the products being produced, as opposed to relying on post-production inspection.

SPC involves gathering information about the product, or the process itself, on a near real-time basis. This enables the operator to take immediate action on the process if required. The approach helps identify unique causes of variation and other non-normal processing conditions, thus bringing the process under statistical control and reducing variation.

Vative runs SPC programs to introduce participants to phases of process characterisation using common statistical techniques and problem-solving methodologies.

The Statistical Process Characterisation & Control (SPC) Program covers the following:

  • Developing a Histogram and checking for normality
  • Calculating Standard Deviation, Mean Cp and Cpk to quantify the ability of the process, in order to respond to customer specifications
  • Developing Pareto Diagrams, Cause & Effect Diagrams and Multi-Vari Charts for process optimisation
  • Developing Variable and Attribute Control Charts for process monitoring

Download our Free PDF to learn more about Statistical Process Control.

Contact us to find out how we can implement Statistical Process Control to help you achieve your business improvement goals.

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