At the end of this course, the students will have gain knowledge and a critical view of the analytical and statistical tools usefull in the setup of quality insurance policy, in process control and daily follow up of analytical devices. They will be able to apply these tools to industrial data sets.
Main themes
- Quality of food products (legislation, norms, insurance)
- Nutritional quality control of food
- On line quality control of agricultural and food products
- Process control in food factory
- Chemometric calibration of spectrophotometers
- Statistical tools for quality insurance
- Statistical tools for validation of measurement methods
- Principles and classes of control charts (Shewhart, EWMA, Multivariate )
- Capability analysis
- Repetability and reproducivity analysis
- Decomposition of sources of variability
- Gauge analysis.
- Reception sampling
Content and teaching methods
Content : the above cited themes will be teached and applied in study of real cases.
Teaching methods : magistal presentations in auditorium, demonstration of instruments in laboratory, practical exercices in computer rooms.
Other information (prerequisite, evaluation (assessment methods), course materials recommended readings, ...)
Prerequisites
Basic course in analytical chemistry, food chemistry, food technology and statistics
Reference :
D. C. Montgomery, Statistical Quality Control. New York: Wiley, second edition