SPC with Control Charts in Minitab – Tabtrainer® Certified

Welcome to the Tabtrainer® Certified Series – your professional standard for science-based training in industrial quality methods and data analysis.

In this course, you will master Statistical Process Control (SPC) using Minitab, from foundational theory to expert-level application of control charts such as Xbar, R, S, I, and MR. Based on a real-world scenario from the die casting of skateboard axles, this training gives you hands-on insight into process behavior, control limit logic, and AIAG-compliant interpretation of anomalies.

Led by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert and founder of Tabtrainer®, the course combines theoretical precision with real industrial data to help you make confident, statistically valid process decisions.

This course offers:

a fully certified, science-based training in Statistical Process Control (SPC) with Minitab, enabling professionals to master all relevant control chart methods from foundational theory to advanced industrial application—aligned with international standards such as AIAG and ISO, based on a realistic manufacturing scenario: the die casting of skateboard axles. Participants will not only learn the practical use of control charts such as Xbar, S, R, I, and M-R, but also gain a deeper understanding of the statistical logic behind them. The training begins with an exploration of descriptive statistics to characterize process data, followed by a detailed explanation of how control limits are calculated using real and target process parameters. Participants will apply the eight standard AIAG control tests to identify hidden patterns, trends, and anomalies that indicate potential process instabilities.

Through a step-by-step analysis of real measurement data collected over a seven-day production period, the course demonstrates how to evaluate process behavior both within and between subgroups, how to split data sets for machine-specific evaluation, and how to assess the effects of technical optimization measures. The transition from grouped data to individual observations is also addressed, enabling participants to evaluate production processes even when sampling is limited.

This training empowers professionals to make statistically sound decisions, avoid costly misinterpretations, and establish a stable basis for future capability analyses. Ideal for quality engineers, Six Sigma practitioners, and process analysts who wish to elevate their SPC knowledge to an expert level through applied learning.