Minitab Training for Manufacturing Quality Coming to San Jose May 1

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Minitab, the leading provider of software for quality improvement, will offer public training sessions for professionals in the San Jose area May 1-9.

Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series May 1-9, 2012 in San Jose, CA.

Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series May 1-9, 2012 in San Jose, CA.

The courses are tailored for professionals working in manufacturing companies, and course materials include examples with metrics such as diameters, pressure and hardness.

In a highly competitive economy, keeping your skills sharp isn’t just an advantage—it’s a necessity. Quality improvement practitioners in the San Jose area will have the opportunity to refine their skills by attending public training sessions being offered by Minitab Inc. in May.

Minitab, the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series May 1-9 at ExecuTrain - San Jose, 2025 Gateway Place, Suite 390, San Jose, CA 95110.

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 seven 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 April 1, 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 May 1.

Registration for days 1-4 is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=992, and registration for days 5-7 is available at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=1018.

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.

Karen Meldrum, Minitab technical training specialist and certified Six Sigma Black Belt, will be the instructor for the San Jose sessions. Meldrum earned a bachelor’s degree in applied mathematics, as well as master’s degrees in applied statistics and mathematics from Oakland University. She also completed graduate study in pure mathematics at Wayne State University.

She taught statistics and mathematics at the university level for the General Motors Technical Education Program and has worked as a statistical trainer and consultant for Ford Motor Company, Chrysler, Bayer, Hollingsworth & Vose and MSX International.

The breadth of her own experiences as a statistician and quality professional, combined with over 20 years teaching experience, makes Meldrum an excellent resource to her class participants. Her classes develop proficiency in the use of Minitab and an understanding of the statistical concepts and tools essential to the success of quality improvement initiatives.

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.

Basic Statistics
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.

Factorial Designs
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.

Response Surface
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.

About Minitab

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.

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Carly Barry
Minitab Inc.
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Eston Martz
Minitab Inc.
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