Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Dallas, TX (PRWEB) December 04, 2012
Refine your quality improvement skills by attending Minitab, Inc.’s public training sessions in the Dallas area starting January 28.
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 January 28 – February 1, 2013, at Microtek, 5430 Lyndon B Johnson Fwy., Three Lincoln Centre, Dallas, TX 75240.
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: DOE in Practice
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. People who register for two days of training and pay before December 29, 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 January 28, 2013. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=1093.
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.
Scott Kowalski, Minitab technical training specialist, will be the instructor for the Dallas sessions. Kowalski earned his B.S., M.S. and Ph.D. in statistics from the University of Florida, where his goal in earning his doctorate was to develop theory for problems being encountered by quality practitioners.
After completing his education, Kowalski worked for one year at Stetson University and for one year at the University of Central Florida, where he served as the associate director of the university's Statistics Institute. He is a member of the Editorial Review Board for the Journal of Quality Technology and Quality Engineering, and has published articles in both journals, as well as in Quality Reliability Engineering International, Quality Progress and Technometrics.
Kowalski joined Minitab to help professionals appreciate and harness the power of statistics in using data to solve problems, no matter what industry they’re in.
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.
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.
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.