Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Phoenix, AZ (PRWEB) February 17, 2012
Refine quality improvement skills by attending Minitab, Inc.’s public training sessions in Phoenix starting March 5.
Professionals will have the opportunity to learn from an industry-seasoned Minitab trainer, who will emphasize techniques for improving quality in manufacturing.
Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series March 5-9, 2012, at Training to You, 2200 North Central Avenue, Suite 405 Phoenix, AZ 85004.
The series consists of five day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Advanced Regression and ANOVA
- Day 4: Statistical Quality Analysis
- Day 5: Factorial Designs
The courses are tailored for professionals 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.
The full five days of training costs $2125; registration for individual sessions is also available. Two or more people from the same organization receive a 5% discount if they register before March 5. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=963
All of Minitab’s instructor-led training includes plenty of time to practice what learned under the guidance of expert trainers with years of experience implementing quality improvement projects. Trainers make complex concepts easy to grasp and are highly regarded for their engaging style and personal attention.
Paul Sheehy, Minitab technical training specialist and certified Six Sigma Black Belt, will be the instructor for the Phoenix sessions. Sheehy earned bachelor’s degrees in both industrial technology and mechanical engineering while employed at GE. In academia, he served as an adjunct professor and industrial advisor for Mechanical Engineering Technology at the University of Maine.
After becoming a Master Black Belt, Sheehy deployed the Six Sigma program at the GE Power Systems facility and taught Six Sigma methodology at various GE locations. Sheehy also worked for the Six Sigma Academy, where he was a master consultant and trainer for five years before coming to Minitab.
His extensive training experience, coupled with over 35 years’ experience in both manufacturing and business processes with companies such as GE, Saco Defense, and Irving Leather, makes Sheehy an excellent resource to his class participants.
“I frequently tell my students that their success is the only measure of my success,” says Sheehy.
The skills covered in the five day-long courses are detailed below.
Introduction to Minitab
Participants learn to create, manipulate and restructure data and how to create and interpret a wide variety of graphs and numerical measures useful for quality improvement initiatives. Topics include Charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation and ODBC.
Participants learn to match appropriate statistical tools to their own applications and how to correctly interpret statistical output to quickly reveal problems or show evidence of improvement. Participants explore critical features in their processes through statistical modeling tools that help to uncover and describe relationships between variables. Topics include t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Correlation, Simple Linear and Multiple Regression, ANOVA and GLM.
Advanced Regression and ANOVA
Participants learn to build on fundamental statistical analysis concepts taught in the Basic Statistics course by exploring additional statistical modeling tools that help reveal key inputs and sources of variation in processes. Topics include Multiple and Stepwise Regression, GLM with Covariates, Nesting and Random Factors, MANOVA and Binary and Nominal Logistic Regression.
Statistical Quality Analysis
Participants learn the basic fundamentals of statistical process control and how these quality tools can provide the necessary evidence to improve and control manufacturing processes. Topics include Gage R&R, Destructive Testing, Gage Linearity and Bias, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute data.
Participants learn to generate full and fractional factorial designed experiments, then interpret and communicate results to improve products and processes, reduce process variation, and expedite development projects. Topics include Design of Factorial Experiments; Normal Effects Plot and Pareto of Effects; Power and Sample Size; Main Effect, Interaction and Cube Plots; Center Points; Overlaid Contour Plots; and Multiple Response Optimization.
Minitab Inc. is one of the world’s leading developers of statistical and process improvement software. Thousands of distinguished companies use Minitab software, including Toshiba, DuPont, Boeing, Royal Bank of Scotland, Nestlé and Pfizer. Minitab products are backed by outstanding services, including training, e-learning opportunities and free technical support.
Minitab Inc., headquartered in State College, Pa., operates offices in the United Kingdom, France and Australia and has additional representatives throughout the world.