Minitab trainers are seasoned statisticians with years of experience implementing quality improvement projects.
Mexico City, Mexico (PRWEB) August 29, 2012
Refine your quality improvement skills by attending Minitab Inc.’s public training sessions in Mexico City starting October 8.
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 October 8-10, 2012, at Mexico City – IHR Sibils SC, Homero 527 PH, Mexico City, Mexico, D.F. 11560. Training is conducted in Spanish.
The series consists of three day-long courses:
- Day 1: Response Surface
- Day 2: DOE in Practice
- Day 3: Advanced Regression and ANOVA
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 three days of training costs $1275; registration for individual sessions is also available. People who register for training and pay before September 17, 2012 receive a 25% early-bird discount. In addition, two or more people from the same organization receive a 10% discount if they register before Sept. 17. Registration is available online at http://www.minitab.com/en-US/training/instructor-led/training-details.aspx?eventId=1037.
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.
Eduardo Santiago, Minitab technical training specialist, will be the instructor for the Mexico City sessions. “My training style is very interactive and learner-focused,” he says. “My goal is to make sure that participants truly understand the material so they can apply Minitab in their work.”
Santiago earned a bachelor’s degree in industrial engineering from CETYS-Universidad, one of Mexico’s premier educational institutions, and later earned a M.Eng. and a Ph.D. in industrial engineering and operations research from Penn State, focusing on how to collect the greatest amount of useful data in the fewest number of runs in expensive testing situations.
He earned Six Sigma certification from Sony while working as a quality improvement consultant for clients such as Plantronics, RCA Display, URBI Homes and Markofoam, a Sony supplier. Now Santiago combines his passion for teaching and his quality improvement experience to help others get the maximum benefit from Minitab software.
The skills covered in the three day-long courses are detailed below.
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.
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.
Advanced Regression and ANOVA
Participants learn to build on fundamental statistical analysis concepts taught in the Basic Statistics course by exploring additional statistical modeling tools that help reveal key inputs and sources of variation in processes. Topics include Multiple and Stepwise Regression, GLM with Covariates, Nesting and Random Factors, MANOVA and Binary and Nominal 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.