Quality Control

This Quality Control course focusses on controlling processes using mainly statistical methods. The course incorporates best practices from Quality Management.

1. Probability & Statistics:
   • Descriptive Statistics:
     Data Classification, Data Summation, Data Presentation
   • Probability Distributions:
     Probability, Binomial Distribution, Poisson Distribution, Normal Distribution
2. 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
3. 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 (1^st, 2^nd, 3^rd Generation), Attribute, Discrete

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.