Length of training: 2 Days Day 1: Statistical Quality Analysis Develop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes. Learn how to utilize important capability analysis tools, many enhanced in Minitab Release 15, to evaluate your processes relative to internal and customer specifications. The course emphasis is placed on teaching quality tools as they relate to manufacturing processes. Tools Covered Include: Gage R&R, Destructive Testing, Gage Linearity, Gage Stability, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute data. Target Participants : Professionals who are working in the automotive industry, chemical production plants, and other companies involved in manufacturing. The course materials include examples with metrics such as diameters, pressure, and hardness. Day 2: Advanced Topics Expand your set of available statistical tools by analyzing data from real world problems experienced in service industries. Strengthen analysis skills with tools used to explore and describe relationships between variables. Learn to discover and describe features in data related to the effect and impact of time, and how to forecast future process behavior.Utilize graphical and quantitative approaches to describe similarities and differences between the effects of various factors on important quality characteristics. Learn how to find and quantify the effect that factors have on the probability of a critical event occurring. Tools Covered Include: Multivariate ANOVA, GLM; Binary Logistic Regression; Factorial Designs; Time Series Tools including Exponential Smoothing, Trend Analysis, Decomposition, Multiple Linear Regression including Best Subsets and Stepwise Regression. Target participants: Professionals who are working in financial services, healthcare and other areas that use metrics such as time, defect rates, and revenue data. The course materials include more examples of analyzing categorical (count) data than continuous (measurement) data. |
