Process capability assessment - You will learn how to judge whether a process meets quality requirements by using the right capability indices and interpreting them correctly in real operational situations.
Correct variation interpretation - You will understand how to separate common cause from special cause variation, so you can identify quality issues more accurately and avoid misguided decisions about the process.
Avoiding wrong analyses - You will know when Cp, Cpk, Pp and Ppk should not be calculated, how to verify process stability, and which statistical assumptions must be checked before trusting the results.
Hands-on Cp and Cpk practice - You will practice calculating and comparing Cp, Cpk, Pp and Ppk on real data, making it easier for you to explain the difference between short-term and long-term capability.
Linking capability with control charts - You will see how to connect capability analysis with X̄-R and X̄-S charts, confirming process stability first and then evaluating process performance against tolerance limits.
Non-normal data analysis - You will learn how to handle data that do not follow a normal distribution by using Box-Cox transformation and suitable methods for interpreting process capability reliably.
Working in Minitab and Excel - You will prepare measurement data, create histograms, run calculations in Minitab or Excel, and build a clear report that you can use in your day-to-day quality work.
Corrective action planning - You will be able to turn analysis results into specific improvement actions, identify sources of excessive variation, and justify which areas of the process need attention first.
Basic statistics - You should be familiar with core statistical terms such as mean, median, range and standard deviation so you can follow how process data are evaluated during the course.
Working with measurement data - You should be able to read and organize simple measurement data in a table, because during the training you will analyze process results and compare them with requirements.
Understanding process quality - You should understand tolerances, specifications and basic quality requirements so you can interpret process capability results correctly in relation to the product.
Using Excel or a similar tool - You should be comfortable using Excel or a similar data tool so you can complete exercises involving calculations, charts and the visual presentation of results.
