The Minitab course is aimed at getting familiar with the most commonly used software for process capability evaluation (SPC) and process improvement using the Six Sigma method.
- Under the guidance of an experienced lecturer, participants apply the content mainly using exercises and examples from practice.
- Top lecturers with experience and experts in their field.
- High degree of satisfaction of course participants .
The form of realization of the course is face-to-face or online (or both forms) .
The working methods used in the training programs are chosen in such a way as to ensure interactivity, adapt the content to the needs of the participants and prioritize the transfer of knowledge into practice .
- Familiarize yourself with the most commonly used software for process capability assessment (SPC) and process improvement using the Six Sigma method.
- Master the use of software and make time more efficient in the statistical processing of data and their evaluation. Using specific examples, show participants how the MINITAB® software can be effectively used when applying statistical control methods to their own processes.
- The condition is mastery of basic statistical methods. Completion of SPC I, Six Sigma Green Belt or equivalent is recommended. Participants will work with the provided examples or can bring their own data.
Introduction to working with MINITAB®
- Familiarization with MINITAB® MENU, worksheets and functions.
- Data types. Data entry, editing and transfer.
- Working with MINITAB® input and output screens.
Graphic options of MINITAB®
- Pareto diagram. Box Plot. Scatter Plot.
- Matrix Plot. Dot Plot. Histogram.
- Diagnostics and application on examples.
Statistical evaluation of process capability in MINITAB®
- Identification of data normality distribution.
- Eligibility of the process for a normal distribution.
- Eligibility of the process for a non-normal distribution.
- Examples and interpretation.
Statistical evaluation of process stability in MINITAB®
- Control diagrams for continuous quantities (Continuous), XP – R; XP – S; Xindivid.
- Control diagrams for discontinuous quantities (Attribute), np; p; c; u.
- Interpretation and practical use.
Numerical evaluation methods
- Hypothesis testing.
- 1-Sample t-Test; 2-Sample t-Test; 2 Variance Test; 1 Proportion Test.
