Quality quandaries: Understanding aspects influencing different types of multiple response optimization |
| |
| Authors: | Christine M. Anderson-Cook Yongtao Cao Lu Lu |
| |
| Affiliation: | 1. Statistical Sciences Group, Los Alamos National Laboratory, Los Alamos, New Mexico;2. Indiana University of Pennsylvania, Indiana, Pennsylvania;3. University of South Florida, Tampa, Florida |
| |
| Abstract: | Optimizing with several responses can benefit from an objective approach of eliminating non-contenders, understanding trade-offs between competing responses, and then identifying a final choice that matches optimization priorities. To offer insights that can help guide thoughtful decisions, we explore and summarize different patterns of solution sets and their trade-offs for different types of optimization with responses that are to be maximized and/or to achieve a target. |
| |
| Keywords: | |
|
|
