Minitab – Advanced Modeling and Design Tools for Quality Improvement in Manufacturing (5 days)

Minintab - Response Surface Contour Plot after Central Composite DesignThis course focuses on providing you with the techniques you need to better understand your process and verify your improvement efforts. Continue to build on the fundamental statistical analysis concepts taught in the Minitab Essentials and Introduction to Basic Statistics and Factorial Designs courses by learning additional statistical modeling tools that help to uncover and describe relationships between variables.

  • Expand your knowledge of basic 2-level full and fractional factorial designs to those that are ideal for process optimization. Explore common DOE scenarios where classic factorial or response surface design and analysis techniques are neither appropriate nor possible due to the nature of the response variable or the data collection process. Develop techniques for experimental situations often encountered in practice such as missing data and hard-to-change factors. Understand how to account for variables (covariates) that may affect the response but cannot be controlled in the experiment and how to minimize process costs while simultaneously optimizing an important process characteristic. Learn how to find and quantify the effect that factors have on the probability of a critical event, such as a defect, occurring.
  • Determine lifetime characteristics of a product using both graphical and quantitative analysis methods. Examine case studies containing censored and uncensored data to learn how to correctly handle a wide variety of data structures commonly found in reliability. Explore the common distributions used to model failure rates and develop necessary skills in choosing these models.
  • Study and describe the impact that explanatory variables have on product lifetime. Learn how to obtain reliability estimates on highly reliable products in a reasonable amount of time. A strong emphasis is placed on using appropriate probability models to predict important lifetime characteristics of your products once in the field.
  • Tools covered include: Multiple and Stepwise Regression; GLM with Covariates, Nesting and Random Factors; MANOVA; Binary and Nominal Logistic Regression, ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization, Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots, Multiple Response Optimization, Parametric and Nonparametric Distribution Analysis, Estimation and Demonstration Test Plans, Growth Curves, Probit Analysis, Regression with life Data, Accelerated Life Testing and Test Plans.

Prerequisites:

This workshop is composed of the following Minitab workshops:

  1. Minitab - Analysis of Covariance ChartAdvanced Regression and ANOVA (1 day) – Multiple and Stepwise Regression; GLM with Covariates, Nesting and Random Factors; MANOVA; Binary and Nominal Logistic Regression.
  2. Response Surface Designs (1 day) – Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots, Multiple Response Optimization.
  3. Minitab - Overlaid Contourplot, models for 3 responsesDOE in Practice (1 day) – ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization, Binary Logistic Regression.
  4. Minitab - Reliability - Distribution identificationIntroduction to Reliability (1 day) – Parametric and Nonparametric Distribution Analysis, Estimation and Demonstration Test Plans, and Growth Curves.
  5. Advanced Reliability (1 day) – Probit Analysis, Regression with life Data, Accelerated Life Testing and Test Plans.

Practice Exercises

Each workshop participant receives an official Minitab workbook and data files, as well as a certificate for Recertification Units.

See other Minitab Training Courses and comments from previous participants, and some previous clients who have taken Carol Kavanaugh’s workshops!