The aim of this course is to address the use of some statistical methods for quality control and improvement, both in productive and non-productive situations.
Course program
FIRST PART
The concepts underlying quality improvement are addressed.
Quality understood as one of the main commercial strategies, underlying the improvement of productivity and market penetration, key to achieving greater profits and competitive advantage. Contents: description of methods useful in quality improvement and inferences regarding the quality of production processes, such as:
- references to descriptive statistics;
- notions of probability and probability distributions;
- sampling distributions;
- point estimate and interval estimate;
- verification (test) of statistical hypotheses.
SECOND PART
The main methodologies of the statistical process control (SPC) are addressed. Contents:
- Theory and methods of the statistical control;
- Control charts for variables;
- Attribute control charts;
- Process capability analysis;
- Introduction to Statistical Programming of Experiments.
THIRD PART
Sampling procedure for monitoring the quality are addressed.
Contents:
- Acceptance Sampling plans;
- Operating-characteristic (CO) curve.
