Statistical Process Control - SPC
This 2 day course will instruct the participants in process improvement and variation reduction using Statistical Process Control (SPC). SPC identifies special causes of variation and other non-normal processing conditions so the operator can bring the process under statistical process control and reduce variation. The course will instruct the attendees to become familiar with the purpose and role of SPC and the application of variable and attribute charts, calculation of control limits, process capability, Cp, Cpk, Pp, Ppk, and statistical applications in the everyday working environment.
Elements covered include:
Statistical Process Control (SPC) Concepts
- Review of purposes and values of SPC
- Types of Variation
- Histograms and Normal Distribution
- Deming's points
- Application of the Central Limit Theorem
- Components of a Control Chart
- Analyzing SPC charts for Patterns of Variation
- Creating and Plotting SPC Charts
- Determining Process Capability - Cp, Cpk, Pp, Ppk
- Measurement Variation
- X MR
- X bar R
- X bar S
- Conformance to Specifications
- Types of Attribute Charts
- Analyzing Attributes Charts for Suggested Action
- Variations of Conventional Control Charts (Median, Target, Group)
- Short-Run X-bar, R Chart
- Group Short-Run Charts
- Short Run Attributes Charts
- Pre Control
For questions regarding the program, please contact Pamela Zablonski, Training and Consulting Manager at 716-888-8493 or email at zablonsp@canisius.edu.
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