文档介绍：Page 1 Friday, December 17, 1999 1:06 PM
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
23
Response
Optimization
■ Response Optimization Overview, 23-2
■ Response Optimization, 23-2
■ Overlaid Contour Plots, 23-20
MINITAB User’s Guide 2 23-1
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
Page 2 Friday, December 17, 1999 1:06 PM
CONTENTS INDEX MEET MTB UGUIDE 1 UGUIDE 2 SC QREF HOW TO USE
Chapter 23 Response Optimization Overview
Response Optimization Overview
Many designed experiments involve determining optimal conditions that will produce
the “best” value for the response. Depending on the design type (factorial, response
surface, or mixture), the operating conditions that you can control may include one or
more of the following design variables: factors, components, process variables, or
amount variables.
For example, in product development, you may need to determine the input variable
settings that result in a product with desirable properties (responses). Since each
property is important in determining the quality of the product, you need to consider
these properties simultaneously. For example, you may want to increase the yield and
decrease the cost of a chemical production process. Optimal settings of the design
variables for one response may be far from optimal or even physically impossible for
another response. Response optimization is a method that allows promise
among the various responses.
MINITAB provides mands to help you identify bination of input variable
settings that jointly optimize a set of responses. mands can be used after you
have created and analyzed factorial designs, response surface designs, and mixture
designs.
■ Response Optimizer provides you with an optimal solution for the input variable
combinations and an optimization plot. The optimization plot is interactive; you can
adjust input variable setti