SPC I - Statistical Process Control


Statistical Process Control and continuous improvement

  • Examples and best practices from organizations using SPC for analyses and process improvement.
  • Basic principles used for statistical control in projects.
  • Application of SPC in systems of quality control, SPC in ISO 9001, IATF16949 and application in Six Sigma methodology.

What, when, how and why to control using SPC

  • Procedure of setting a key quality parameters and effectiveness for the application of SPC.

Graphic tools of analysis and problem solving

  • Basic tools for definition, analysis, correction and prevention.
  • Histogram; Pareto analysis; Scatter diagram.
  • Ishikawa diagram; Practical illustrations of utilization of graphic tools.

Basic principles of statistical process control

  • Stability and capability of the process.
  • Sample selection.

SPC in measurement and comparison

  • Creation and analyses of control charts with continuous variables.
  • Stability test according to ISO 8258. X-R, X-S and X indiv-R control charts.
  • Control charts for attributes np, p, c, u. Interpretation of control charts and practical use.
  • Examples of creating control charts for various processes, useful advice for application.

Process and machine capability analysis

  • Calculating and interpreting process capability indexes Cp, Cpk, Pp, Ppk and machine capability indexes Cm, Cmk, amended by practical examples.

Using software tools in SPC - Practical exercises

  • Collecting, analyzing and presenting data from processes using software tools; Practical examples of data analysis.

SPC I–III participants may use either their own software (Minitab or another) or “SPC for Excel” software, which will be lent to them during the training and can be purchased at a discounted price.