This course will give you what every Engineer should know about Statistical Quality Control.
WHO SHOULD ATTEND
All Engineers that provide support to the Manufacturing Process. Managers, Supervisors, Engineers, Team Leaders and individuals interested in learning the Statistical Quality Control Essentials.
BENEFITS
When the training is completed, you will be able to implement these powerful quality tools in your manufacturing process to improve your quality levels and obtain a significant reduction to the overall cost of quality.
TRAINING TOPICS:
I. Basic Concepts of Quality Control
- What is quality?
- What is control?
- The quality control system
- Inspection and testing
- The Cost of Quality
II. Raw Material Supplier Quality
- Supplier Relations
- Supplier Quality Systems
- Evaluating Supplier Capability
- Certification
III. Probability Distributions
- Describing Variation
- Discrete and Continuous Distributions
- Statistical Sampling Distributions
IV. Statistical Process Control
- Methods and Philosophy
- Central Limit Theorem
- Cause-and-effect diagrams
- Process Capability
- Prevention versus detection
V. Control Charts for Variables and Attributes
- Control charts for average X, R and S
- Control Charts for Fraction Nonconforming and Nonconformities
VI. Process Capability Analysis
- Overview
- Process Performance Indices
- How to Interpret the process performance indices
- Performing a Process Capability Analysis
VII. Hypothesis Testing
- Overview
- Comparing Means (one-simple z-test, t-test, ANOVA one-way)
VIII. Regression Analysis
- Overview
- Least Squared Method
- Regression Metrics
- Simple Linear Regression
IX. Design of Experiments
- Overview
- Design of Experiments Terminology
- Full Factorial and Fractional Factorial experiments
- Response Surface experimients
X. Acceptance Sampling
- Advantages and Disadvantages
- Single Sampling Plans
- OC curves
- AOQ curves and AOQL
- ASN curves