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In diesem Kurs gibt es 3 Module
By the end of this course, learners will be able to define project scope, apply Lean tools to eliminate waste, measure process performance with statistical methods, analyze data to identify root causes, and implement sustainable improvements. Designed around the DMAIC methodology, this course equips learners with practical tools such as SIPOC, VOC, QFD, MSA, regression, ANOVA, DOE, and FMEA.
Learners will benefit by gaining a strong foundation in Six Sigma and Lean principles, enabling them to drive efficiency, reduce variation, and achieve measurable business outcomes. Each module provides hands-on exposure to real-world scenarios, ensuring participants can translate theory into practice.
What makes this course unique is its comprehensive alignment with Green Belt exam preparation, structured practice and graded quizzes, and emphasis on both technical rigor and organizational change management. Learners will not only master statistical analysis but also develop the leadership mindset required to guide teams and sustain improvements. This ensures readiness for both certification success and career advancement in process excellence.
This module introduces learners to the fundamentals of Six Sigma, Lean thinking, and waste reduction. Participants will explore the Define phase, Voice of the Customer (VOC), project charters, and Lean tools such as 5S, Poka Yoke, SMED, and Kanban. By the end of this module, learners will understand how to identify customer needs, outline project scope, and apply Lean methods for improving efficiency.
Das ist alles enthalten
16 Videos4 Aufgaben
Infos zu Modulinhalt anzeigen
16 Videos•Insgesamt 75 Minuten
Introduction - Till Measure•3 Minuten
Introduction - Till Change Management•3 Minuten
Six Sigma Team Formation•4 Minuten
Introduction To Define•4 Minuten
VOC - Voice of Customer•1 Minute
QFD - Quality Functional Deployment•5 Minuten
Define Tools•3 Minuten
Project Charter•3 Minuten
Introduction to Lean & Theory of Constraints•10 Minuten
Introduction to Lean & Theory of Constraints Continues•10 Minuten
Value stream mapping•11 Minuten
7 Wastes•6 Minuten
5 S•4 Minuten
Poka Yoke•1 Minute
SMED•4 Minuten
Lean - Kanban•2 Minuten
4 Aufgaben•Insgesamt 60 Minuten
Introduction and Six Sigma Basics•10 Minuten
Define Phase Tools and Customer Focus•10 Minuten
Lean Principles and Waste Reduction•10 Minuten
Graded-Foundations of Six Sigma and Lean Concepts•30 Minuten
Measure Phase – Building the Analytical Foundation
Modul 2•2 Stunden abzuschließen
Moduldetails
This module emphasizes the Measure phase of Six Sigma, where data accuracy and statistical foundations are established. Learners will explore Measurement System Analysis (MSA), descriptive statistics, control charts, process capability indices, and hypothesis testing. By mastering these tools, learners will be equipped to collect valid data and evaluate process performance with confidence.
Das ist alles enthalten
14 Videos4 Aufgaben
Infos zu Modulinhalt anzeigen
14 Videos•Insgesamt 81 Minuten
Introduction to Measure and Balance score•6 Minuten
Measure - MSA•5 Minuten
Data Collection Basics•7 Minuten
Sampling and Data Types•8 Minuten
Descriptive Statistics•2 Minuten
Process Capability Concepts•9 Minuten
Process Capability Indices•4 Minuten
Control Charts and Variability•2 Minuten
Understanding Normal Distribution•4 Minuten
Hypothesis Testing Foundations•5 Minuten
Advanced Hypothesis Testing•12 Minuten
Regression and Correlation Basics•4 Minuten
Advanced Regression Techniques•7 Minuten
Summary and Review•6 Minuten
4 Aufgaben•Insgesamt 60 Minuten
Introduction to Measure Phase•10 Minuten
Statistical Foundations and Process Capability•10 Minuten
Advanced Measurement and Review•10 Minuten
Graded-Measure Phase – Building the Analytical Foundation•30 Minuten
Analyze, Improve & Control – Advanced Problem Solving
Modul 3•3 Stunden abzuschließen
Moduldetails
This module guides learners through the Analyze, Improve, and Control phases of DMAIC. It covers tools for root cause identification, regression, correlation, ANOVA, DOE, Multi-Vari, FMEA, risk analysis, and process optimization. Learners will also explore solution implementation, pilot testing, and sustaining improvements to achieve long-term process excellence.
Das ist alles enthalten
18 Videos5 Aufgaben
Infos zu Modulinhalt anzeigen
18 Videos•Insgesamt 105 Minuten
Introduction and Data Exploration•8 Minuten
Root Cause Identification•3 Minuten
Process Mapping and Flow Analysis•7 Minuten
Hypothesis Testing Applications•7 Minuten
Regression Analysis•10 Minuten
Correlation and Scatter Plots•4 Minuten
ANOVA for Process Comparison•3 Minuten
Design of Experiments (DOE) Basics•5 Minuten
Multi-Vari and Advanced DOE•5 Minuten
Failure Modes and Effects Analysis•2 Minuten
Simulation and Modeling•6 Minuten
Risk Analysis and Mitigation•8 Minuten
Summary and Consolidation•3 Minuten
Review and Transition to Improve•3 Minuten
Introduction and Tools•10 Minuten
Process Optimization•9 Minuten
Implementing Solutions•3 Minuten
Sustaining Improvements•10 Minuten
5 Aufgaben•Insgesamt 70 Minuten
Root Cause and Data Analysis•10 Minuten
Regression, Correlation, and ANOVA•10 Minuten
Advanced Analysis Techniques•10 Minuten
Improve & Control Implementation•10 Minuten
Graded-Analyze, Improve & Control – Advanced Problem Solving•30 Minuten
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