Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Columbia, SC (PRWEB) May 11, 2012
Refine your quality improvement skills by attending Minitab, Inc.’s public training sessions in the Columbia area starting June 25.
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 June 25-29, 2012, at Midlands Technical College, 151 Powell Road, Columbia, S.C. 29203.
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 May 26, 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 June 25. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=995.
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.
Luis Mateo, Minitab technical training specialist, will be the instructor for the Columbia sessions. "When I teach people to use Minitab, I avoid lots of unnecessary theoretical jargon," he says. "My goals for them when they finish the course are to know how to use the software at their jobs and to feel confident doing their own analyses."
Mateo earned his B.A. in Physics from Colgate University in 1995 and his M.A. in Applied Statistics from Columbia University in 1998. He has more than seven years of experience applying statistics to improve the quality of consumer products at global companies such as Colgate-Palmolive, Unilever Research and Pepsi Co. As a multi-lingual statistician (English, Spanish and Portuguese), Luis has helped international laboratories implement experimental designs and statistical methods of analyses.
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.