Quality and Lean Fundamentals Course
9 Complete modules designed to improve your knowledge, including workbook for each module
of Content
Modules
Practical
Detailed Program
Explore each module and discover what you’ll learn
Module 1: Introduction
Introduction to quality and lean fundamentals
Main topics:
- History of Quality in manufacturing
- Quality philosophies: Deming, Juran, Crosby, Shewhart, Ishikawa
- Tools
- Standards
Module 2: Variation Statistical Distributions
Definition of variation and probability distributions
Main topics:
- Variation
- Attribute and Variable Data
- Standard deviation
- Normal and non-normal data
Module 3: Data Collection and Analysis
The importance of correct collection of data for decision making
Main topics:
- Collecting data
- Types of data
- Types of data
- Interpreting data
Module 4: Sampling Theory
Introduction of sampling methodologies
Main topics:
- Sampling basics
- Sample size
- Sampling and bias
- Standard deviation
Module 5: Measurement System Analysis
Definition of measurement system analysis and its characteristics
Main topics:
- Gauge R&R
- Measurement variation
- GR&R for variables
- Attribute agreement analysis
Module 6: Graphical Analysis
Importance of identifying patterns using visual analysis
Main topics:
- Patterns and frequencies
- Distributions
- Outliers
- Box plots
Module 7: Process Capability
Definition of process capabilities and how to calculate
Main topics:
- Performance
- Capability index: Cpk, Ppk
- Sigma levels
- Tolerance intervals
Module 8: Statistical Process Control
Importance of monitoring the manufacturing process and how to do it
Main topics:
- Control charts
- Identifying variation
- Out of control process
- Special cause
Module 9: Practical Test
Apply what you have learned with case studies
Ready to Get Started?
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