Minitab Public Training for Manufacturing Quality Coming to Phoenix November 15
Minitab, the leading provider of software for quality improvement, will offer public training sessions for professionals in the Phoenix area November 15-22.
Phoenix, AZ (PRWEB) October 03, 2011
In a highly competitive economy, keeping your skills sharp isnÃ¢t just an advantageÃ¢”itÃ¢s a necessity. Quality improvement practitioners in the Phoenix, Ariz. area will have the opportunity to refine their skills by attending public training sessions being offered in November.
Minitab Inc., the leading provider of software for quality improvement and statistics education, will offer its Manufacturing Quality training series November 15Ã¢“22, 2011, at Training to You, 2200 North Central Avenue, Suite 405 Phoenix, Arizona 85004.
The series will consist 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 manufacturing companies, and course materials include examples with metrics such as diameters, pressure, and hardness.
The full week of sessions costs $2,550; registration for individual sessions also is available. People who register for two or more days of training and pay before October 16, 2011 receive a 10% early-bird discount. In addition, two or more people from the same organization receive a 5% discount if they register before November 15. Registration is available online at http://www.minitab.com/training/instructor-led/training-details.aspx?eventId=877
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. Kurt Brumbaugh will be the instructor for the Phoenix sessions.
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. 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.
Introduction to Reliability
Participants learn to determine lifetime characteristics of a product using both graphical and quantitative analysis methods. 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 that explanatory variables have on product lifetime, and 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 worldÃ¢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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