Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Seattle, Wash. (PRWEB) February 23, 2012
Refine your quality improvement skills by attending Minitab, Inc.’s public training sessions in Seattle starting March 19.
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 19-23, 2012, at Microtek – Computer Classrooms, 10604 NE 38th Place, Kirkland, Washington 98033.
The series consists of five day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Statistical Quality Analysis
- Day 4: Factorial Designs
- Day 5: Response Surface
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 19. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=966
All of Minitab’s instructor-led training includes plenty of time to practice what you learn 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.
Eduardo Santiago, Minitab technical training specialist, will be the instructor for the Seattle sessions. “My training style is very interactive and learner-focused,” he says. “My goal is to make sure that participants truly understand the material so they can apply Minitab in their work.”
Santiago earned a bachelor’s degree in industrial engineering from CETYS-Universidad, one of Mexico’s premier educational institutions, and later earned a M.Eng. and a Ph.D. in industrial engineering and operations research from Penn State, focusing on how to collect the greatest amount of useful data in the fewest number of runs in expensive testing situations.
He earned Six Sigma certification from Sony while working as a quality improvement consultant for clients such as Plantronics, RCA Display, URBI Homes and Markofoam, a Sony supplier. Now Santiago combines his passion for teaching and his quality improvement experience to help others get the maximum benefit from Minitab software.
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.
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 Experiment, 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.
Participants learn to use Minitab’s DOE interface to create response surface designs, analyze experimental results and find optimal factor settings. Participants also learn to experiment in the real world with techniques such as sequential experimentation that balance the discovery of critical process information, while being sensitive to the resources required to obtain that information. Topics include Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, 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.