This course is specifically designed to meet the analytical needs of those individuals working within FDA regulated industries. Course covers the basic concepts and methodologies associated with designing closed loop process controls using statistical process control for variables and attributes data. Variation assessment, subgroup formation, sample size selection, SPC control chart selection, out of control action plan generation are presented along with measures of process capability. The course requires 16 hours of instruction.
This course is required for all scientists, engineers and quality professionals who actively work on all aspects of discovery, product and process development where the goal is to characterize, optimize and improve product and process performance.
ESDA and DOE are recommended courses prior to taking PCD-SPC.
SPC a basis for control Basic statistics Normal distribution Standard error of the mean Central limit theorem
Determining process stability prior to computation of capability
Cp and Cpk
Sigma and z as measures of process capability
Tests for normality
Distribution fitting for nonnormal parameters
Process control specialist