文档介绍：Page 1 Friday, December 17, 1999 1:16 PM
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
21
Mixture Designs
■ Mixture Designs Overview, 21-2
■ Choosing a Design, 21-3
■ Creating Mixture Designs, 21-5
■ Displaying Simplex Design Plots, 21-24
■ Defining Custom Designs, 21-28
■ Modifying Designs, 21-31
■ Displaying Designs, 21-35
■ Collecting and Entering Data, 21-37
■ Analyzing Mixture Designs, 21-38
■ Displaying Factorial Plots, 21-44
■ Displaying Mixture Plots, 21-45
See also,
■ Chapter 22, Optimal Designs
■ Chapter 23, Response Optimization
MINITAB User’s Guide 2 21-1
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
Page 2 Friday, December 17, 1999 1:16 PM
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
Chapter 21 Mixture Designs Overview
Mixture Designs Overview
Mixture experiments are a special class of response surface experiments in which the
product under investigation is made up of ponents or ingredients. Designs
for these experiments are useful because many product design and development
activities in industrial situations involve formulations or mixtures. In these situations, the
response is a function of the proportions of the different ingredients in the mixture. For
example, you may be developing a pancake mix that is made of flour, baking powder,
milk, eggs, and oil. Or, you may be developing an insecticide that blends four chemical
ingredients.
In the simplest mixture experiment, the response (the quality or performance of the
product based on some criterion) depends on the relative proportions of the
components (ingredients). The quantities ponents, measured in weights,
volumes, or some other units, add up to mon total. In contrast, in a factorial
design, the response varies depending on the amount of each factor (input variable).
MINITAB can create designs and analyze data from three types of experiments: