COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators. 

 

This course is designed to provide participants with a detailed and up-to-date overview of Practical Statistical Analysis of Lab Data. It covers the quality and process control, process variability and statistical concepts for SPC; the elements of a control system, control charts and steps to implement SPC; the X̄ and R Charts (mean and range), X̄ and s charts (mean and standard deviation) and individual and moving range (I-MR) charts; the process stability and interpret Cp, Cpk, Pp, Ppk calculations, indices in relation to tolerance, short-term versus long-term capability and capability improvement strategies; the p and np Charts (proportion and count of defectives), c and u Charts (count of defects per unit) and short-run SPC methods; and the measurement system analysis (MSA), using control charts for continuous improvement. 

 

During this interactive course, participants will learn the SPC software tools and automation, set-up real-time dashboards and apply data input automation from sensors/instruments including alerts and notifications for control limit breaches; and the lab-based testing, use of SPC in batch production, managing mixed lab/process SPC systems and cross-functional collaboration; creating effective SPC reports, SPC and lean manufacturing integration and benchmarking and best practices; and the strategic deployment of SPC, sustaining SPC effectiveness, SPC in regulatory and critical applications and troubleshooting common SPC pitfalls.