Описание: 1. Part I. Concepts and quality philosophies a. The quality philosophies: a general overview
b. Design for quality
c. Supplier development
d. Quality in manufacturing
2. Part II. Data analysis
a. Data analysis in quality
b. Techniques for data validation
c. Data reliability and data curation
3. Part III. Statistical techniques in quality
a. Measurement and instruments in quality
b. Statistical quality control
c. Statistical techniques and methods in quality assurance
d. Reliability and accelerated life test
e. Kaizen
f. Just-in-time
g. Failure mode and effects analysis
h. Quality function deployment
4. Part IV. Six sigma and technologies
a. Lean six-sigma
b. Processing capacity Cp Cpk and Cpm
c. Information and communications technologies in quality
d. Software for quality assurance
5. Part V. Quality certification a. Family ISO 9000 (Audits)
b. Family ISO 14000 (Environment)
6. Part VI. Human resource in quality assurance
a. Kaizen or improvement by human resources
b. Teamwork in quality assurance
Training in quality