Minitab Manufacturing Focus - Response Surface Designs, DOE in Practice, Formulations and Mixture Designs

Course Details:

Response Surface Designs

9:00 AM to 5:00 PM Monday, May 19 (1 Day)

Expand your knowledge of basic 2 level full and fractional factorial designs to those that are ideal for process optimization. Learn how to use Minitab’s DOE interface to create response surface designs, analyze experimental results, and find optimal factor settings. Learn how to experiment in the real world by using techniques such as sequential experimentation that balance the discovery of critical process information while being sensitive to the resources required to obtain that information. Learn how to find factor settings that simultaneously optimize multiple responses.

Topics Covered Include: Central Composite and Box-Behnken Designs, Calculations for Steepest Ascent, Overlaid Contour Plots, Multiple Response Optimization

Prerequisites: Introduction to Minitab, Basic Statistics, and Factorial Designs

DOE in Practice

9:00 AM to 5:00 PM Tuesday, May 20 (1 Day)

Learn how to handle 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. Explore the importance of minimizing 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.

Topics and Tools Covered Include: ANCOVA, Unbalanced Designs, Split-Plot Designs, Multiple Response Optimization, Binary Logistic Regression

Prerequisites: Introduction to Minitab, Basic Statistics, and Factorial Designs

Formulations and Mixture Designs

9:00 AM to 5:00 PM Wednesday, May 21 (1 Day)

Learn the principles of designing experiments and analyzing the resulting data for processes that are comprised of the mixing and blending of ingredients such as those commonly found in the chemical, food, and beverage industries. By utilizing Minitab’s easy to understand interface, create experiments designed to study and uncover important process information related to mixture processes with the minimal amount of experimental resources. Learn how to interpret graphical and statistical output to understand a mixture’s blending properties and to choose the appropriate mixture of ingredients needed to optimize one or more critical process characteristics.

Tools and Topics Covered Include: Simplex Lattice and Centroid Designs, Upper and Lower Constraints, Extreme Vertices, Pseudocomponents, Response Trace Plots

Prerequisites: Introduction to Minitab, Basic Statistics, and Factorial Designs