Overview

Welcome to the Tabtrainer® Certified Series - your expert platform for science-based quality training and applied statistical thinking.In this course, you'll gain deep, hands-on expertise in Process Capability Analysis using Minitab®, guided by real industrial data from the die casting of skateboard axles. You'll learn to evaluate and optimize your processes using industry-standard metrics such as Cp, Cpk, Pp, Ppk, and Cpm, while applying AIAG and ISO-compliant methods to ensure long-term process capability.Led by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert and founder of Tabtrainer®, this course bridges theory and practice to help you identify process instability, reduce scrap, and communicate capability clearly to technical and non-technical stakeholders alike:1. Data Preparation & Exploratory AnalysisHow to import and clean quality dataUse of descriptive statistics to assess central tendency and dispersionIdentifying outliers and initial trendsPerforming the Anderson-Darling test to verify normal distribution assumptions2. Process Stability AnalysisConstruction and interpretation of X-bar and R control chartsApplication of all 8 AIAG control tests to identify process instabilitiesUnderstanding subgroup structures and the difference between within-group and between-group variationVerifying whether the process is stable enough to begin capability analysis3. Capability Metrics and Their InterpretationIntroduction to key process capability indicators: Cp, Cpk, Pp, Ppk, and the Cpm (Taguchi Index)Understanding the difference between overall and potential capabilityExplanation of process centering and process shift (Katayori)Visual interpretation through histograms, density functions, and z-benchmarks (Sigma Level)Assessing scrap rates using PPM values (Parts Per Million)4. Root Cause Analysis and OptimizationRoot cause investigation using supplier-coded ID dataCreation of dot plots to compare raw material quality across suppliersImplementing technical and supplier-related improvement actionsEvaluating before-and-after scenarios using the Capability Sixpack tool5. Final Evaluation and Best PracticesComparing pre- and post-optimization results based on capability indices and control chartsInterpretation of visual and statistical outputs to determine long-term capabilityGuidance for saving, documenting, and communicating capability projectsUnderstanding when a process can be considered statistically capable, and how to sustain performanceLearning Outcome:By the end of this course section, participants will be able to:Apply the complete capability analysis cycle from start to finishUse key performance indicators to assess and compare process capabilityIdentify causes of process instability and high variationImplement targeted improvements to meet customer requirementsUse Minitab® tools efficiently, including control charts, capability plots, and the Capability SixpackThis training empowers learners to make data-driven decisions, communicate process capability clearly, and support sustainable quality improvements in real industrial settings.

Skills

Reviews