Quality Assurance and Process Optimization
Ensure Quality Using Data Analysis
Ensuring good quality includes performing adequate quality controls, understanding quality variations over time, and optimizing processes if needed. This requires to collect the right amount of data and to analyse them using suitable methods – which are of course specific to the situation addressed.
In our dedicated applied training courses, you will acquire exactly the expertise you need to tackle your work challenges. Many PC-based exercises derived from real cases will enable you to practise the methods learnt using user-friendly software, preparing you ideally to apply them effectively.
Quality assurance strategies, sampling plans, Shewhart control charts, control limits, CUSUM charts, process capability
Process capability, trend tests, principal components analysis, Hotelling’s T2 control chart, nonnormal and count data
ICH guidelines, linear regression, model analysis, shelf life, covariance analysis, data pooling, bracketing and matrixing
Censoring, data visualization, exponential and Weibull distributions, Kaplan-Meier estimator, life cycle regression
PAT concept, data visualization, DoE, Design Space, control charts, process capability, multivariate process control
Graphical tools, data preparation, linear models, machine learning methods, classification and regression trees (CART)
Any Questions? Send Us a Message.
Since we are a small company, we can respond quickly to your questions. Just contact us either by telephone +41 61 686 98 77 or using the Contact form.