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Statistical Process Control (SPC)
Lean Manufacturing

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Statistical Process Control (SPC)

What is Statistical Process Characterisation and control and how will it help my workplace?

The purpose of this program is to introduce participants to phases of process characterisation using common statistical techniques and problem-solving methodologies.

  • Develop a histogram and check for normality
  • Calculate standard deviation, mean Cp and Cpk to quantify the ability of the process to respond to the customer's specifications
  • Develop Pareto diagrams, cause-and-effect diagrams, and conduct Multi-vary analysis to optimise a process
  • Develop variable and attribute control charts to monitor a process

SPC is a method of monitoring a process during its operation in order to control the quality of the products while they are being produced, rather than relying on inspection to find problems after the fact. It involves gathering information about the product, or the process itself, on a near real-time basis so that the operator can take action on the process. This is done in order to identify special causes of variation and other non-normal processing conditions, thus bringing the process under statistical control and reducing variation.

Identify the 4 Phases of process characterisation:

  • Phase I - Definition
  • Phase II - Analysis
  • Phase III - Optimisation
  • Phase IV - Control

Develop Histograms and check for normality:

  • A graphic representation of the distribution of data.
  • A quick view of the amount of variation in a process

Understand and calculate standard deviation:

  • Cp & Cpk
  • Learn mean, sigma and capability indices

Pareto diagrams, C-E diagrams, Multi-vary Analysis:

  • 80-20 rule, fishbone charts (C-E), Observation and recording

Control charts

  • Understanding attribute data and variation, establishing and interpreting control charts


is the key to process stability.

Key points/outcomes :

  • Data collection, Histograms, Multi-vary Analysis, Pareto Diagrams, Process capability study, Scatter diagrams, Control charts
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