Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Kansas City, MO (PRWEB) May 29, 2012
Refine your quality improvement skills by attending Minitab, Inc.’s public training sessions in Kansas City starting July 17.
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 July 17-24, 2012, at Sirius Computer Systems, 6811 Shawnee Mission Pkwy, Bldg. #1- Cloverleaf Office Park, Suite 309, Overland Park, Kansas 66202.
The series consists of six day-long courses:
- Day 1: Introduction to Minitab
- Day 2: Basic Statistics
- Day 3: Statistical Quality Analysis
- Day 4: Factorial Designs
- Day 5: Introduction to Reliability
- Day 6: Advanced Reliability
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 six days of training costs $550; registration for individual sessions is also available. People who register for two or more days of training and pay before June 17, 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 17. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=977.
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 Kansas City 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 six 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.
Introduction to Reliability
Participants learn to determine lifetime characteristics of a product using both graphical and quantitative analysis methods. Participants explore the common distributions used to model failure rates and develop necessary skills in choosing models. Topics include Parametric and Nonparametric Distribution Analysis, Estimation and Demonstration Test Plans, Growth Curves, Multiple Failure Modes, Warranty Predictions and Weibayes Analysis.
Participants learn to study and describe the impact explanatory variables have on product lifetime and how to use appropriate probability models to predict important lifetime product characteristics. Topics include Probit Analysis, Regression with Life Data, Accelerated Life Testing and Test Plans.
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.