Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Columbus, Ohio (PRWEB) May 30, 2012
In a highly competitive economy, keeping your skills sharp isn’t just an advantage—it’s a necessity. Quality improvement practitioners in the Columbus area will have the opportunity to refine their skills by attending public training sessions offered by Minitab Inc. in July.
Minitab, the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series July 16-20 at Knowledge Services, 6500 Emerald Parkway, Suite 150, Dublin, OH 43017.
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 manufacturing companies, and 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. People who register for two or more days of training and pay before June 16, 2012 receive a 10% early-bird discount. In addition, two or more people from the same organization receive a 5% discount if they register before July 16. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=976.
Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects. They make complex concepts easy to grasp, and are highly regarded for their engaging style and personal attention.
Lou Johnson, Minitab technical training specialist and certified Six Sigma Black Belt, will be the instructor for the Columbus sessions. Johnson brings 24 years of process engineering and Six Sigma experience to his role as a Minitab Trainer.
Throughout his career, he has trained engineers, project leaders and technicians from companies including Arrow and Xerox. “Helping others use data to make good business decisions is one of the things I enjoy most about teaching Minitab,” Johnson says.
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. Strong emphasis is placed on making good business decisions based on the practical application of statistics. 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 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.
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.