About this course
This Quality Control training course focusses on controlling processes using mainly statistical methods. The course incorporates best practices from Quality Management.
- Probability & Statistics:
- Descriptive Statistics:
Data Classification, Data Summation, Data Presentation - Probability Distributions:
Probability, Binomial Distribution, Poisson Distribution, Normal Distribution
- Descriptive Statistics:
- Quality Determination:
- Determination Methods:
Review, Analysis, Modeling, Simulation, Inspection, Measurement, Test - Sampling Methods:
Randomization, Probability Sampling, Nonprobability Sampling - Acceptance Sampling:
Sampling Plans, Operating Characteristic Curve, Sampling Plan Performance
- Determination Methods:
- Statistical Quality Control:
- Measurement System Capability:
Capability, Precision, Accuracy, MSA, Calibration, Gage R&R - Process Stability:
SPC, Control Chart, Phase I (Shewhart), Phase II (MA, EWMA, CUSUM) - Process Capability:
Capability, Indices (1st, 2nd, 3rd Generation), Discrete, Continuous
- Measurement System Capability:
This Quality Control training course is based on years of professional and didactic experience, and is set up in a blended learning form combining face-to-face with distance learning activities. It is also partly based on the Bodies of Knowledge that form the basis of the certifications of ASQ (American Society for Quality).
A basic understanding of mathematics is required to successfully follow this course. Please contact us if you need some help in refreshing your mathematics before you follow the course.