Title
Bayesian modeling and optimization for multi-response surfaces
Abstract
•Integrating quality loss with conformance probability.•Conformance probability can be obtained by using posterior samplers.•Compare optimization results between Bayesian SMR and SUR modeling.•Both parameter uncertainty and response variability are considered.•Make a trade-off between quality loss and conformance probability.
Year
DOI
Venue
2020
10.1016/j.cie.2020.106357
Computers & Industrial Engineering
Keywords
DocType
Volume
Multi-response optimization,Quality loss function,Bayesian analysis,Conformance probability,Model parameter uncertainty,Seemingly unrelated regression
Journal
142
Issue
ISSN
Citations 
C
0360-8352
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jianjun Wang100.34
Yizhong Ma2408.89
Linhan Ouyang300.34
Yiliu Tu411115.46