Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Minneapolis, Minn. (PRWEB) June 05, 2013
In a highly competitive economy, keeping your skills sharp isn’t just an advantage—it’s a necessity. Quality improvement practitioners in the Minneapolis 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 22-30 at Euler Training Center, 1660 South Highway 100, St. Louis Park, MN 55416.
The series consists of seven day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Statistical Quality Analysis
- Day 4: Factorial Designs
- Day 5: DOE in Practice
- Day 6: Response Surface
- Day 7: Formulation and Mixture Designs
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 $2975; registration for individual sessions is also available. People who register for two or more days of training and pay before June 22, 2013 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 22. Registration is available online at http://www.minitab.com/training/instructor-led/training-details.aspx?eventId= 2001112.
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 Minneapolis 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 seven 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.
DOE in Practice
Participants learn to handle common DOE scenarios where classic factorial or response surface design and analysis techniques are neither appropriate nor possible, and develop techniques for experimental situations such as missing data and hard-to-change factors. Participants explore opportunities to minimize costs or variability while simultaneously optimizing an important process characteristic. Topics include ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization and Binary Logistic Regression.
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 with techniques such as sequential experimentation that balance the discovery of critical process information. Topics include Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots and Multiple Response Optimization.
Formulation and Mixture Designs
Participants learn to interpret graphical and statistical output to understand a mixture’s blending properties and to choose the appropriate mixture of ingredients needed to optimize critical process characteristics. Topics include Simplex Lattice and Centroid Designs, Upper and Lower Constraints, Extreme Vertices Designs, Pseudocomponents, Response Trace Plots, Mixtures with Process Variables and Mixture Amounts.
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.