Minitab Public Training By Dr. Scott Kowalski - Minitab Inc. USA.

Minitab Public Training By Dr. Scott Kowalski - Minitab Inc. USA.

 

About The Event

Day 1 - Service Quality Basic Statistics

Day 2 - Service Quality Advanced Topics

Augment your graphical analysis skills using Minitab’s powerful statistical tools. Develop the foundation for important statistical concepts such as hypothesis testing and confidence intervals. By analyzing a variety of real world data sets, learn how to match the appropriate statistical tool to your own applications and how to correctly interpret statistical output to reveal problems quickly with a process or to show evidence of an improvement. 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. Learn how to find and quantify the effect that factors have on the probability of a critical event occurring. Learn how to explore critical features in your processes through statistical modeling tools that help to uncover and describe relationships between variables.

The course emphasis is on making good business decisions through the use of statistical tools commonly used in business, transactional, and service processes.

Tools & Topics covered include: Power and Sample Size, Hypothesis Testing, Chi- Square Analysis, ANOVA, Correlation, Simple Linear Regression, Multiple Linear Regression including Best Subsets and Stepwise Regression, Binary Logistic Regression, Time Series Tools Including Exponential Smoothing, Trend Analysis, Decomposition, and Factorial Designs.

Day 1 - Statistical Quality Manufacturing

Day 2 - Factorial DOE

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 to evaluate your processes relative to internal and customer specifications. Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives. Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and development projects.

The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Tools covered in the training material include: Gage R&R, Destructive Testing, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal and Non-normal, Design of Factorial and Fractional Factorial Experiments, Pareto Plot of Effects, Power and Sample Size, Main Effect Plots, Interaction Plots, Center Points, Overlaid Contour Plots, Multiple Response Optimization.

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