Paper Info
Title
Incremental Kriging based online robust parameter design
Abstract
Traditional robust parameter design (RPD) is a useful tool for offline quality improvement, which is mainly applied to physical experiment. If the optimal setting for controllable factors is not desirable, the offline PRD cannot utilize the new-obtained sample to update the optimal setting. In this paper, the offline RPD is extended to online PRD; and the background for RPD is enlarged from physical experiment to computer experiment, where the Kriging model is typically utilized to create a single response surface. In the process of building the incremental Kriging (IKriging), if the optimal setting is not desirable, it can be regarded as a new-arrival sample with the online measurements of the noise factors to update the Kriging model. While constructing the response surface with the IKriging, it is updated according to the new-arrival sample rather than the all (n+1) samples, substantially enhancing the efficiency of constructing the response surface. In the proposed IKriging based online RPD strategy, an appropriate algorithm is designed to numerically get the next optimal setting for the controllable factors, and a criterion is established to determine the next site for the noise factors to observe the response. By employing the IKriging model, the response surface can be online constructed efficiently, and furthermore the optimal setting for the controllable factor can be obtained immediately, meeting the requirement of online quality adjustment. The proposed methodology is confirmed using five examples, which illustrate that the underlying optimal settings can be found by utilizing the proposed IKriging based online RPD strategy for the computer experiment, and the IKriging based RPD method is preferable to existing online robust design methods.
Year
DOI
Venue
2022
10.1002/qre.3070
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Keywords
DocType
Volume
design and analysis of computer experiments, Kriging model, robust parameter design
Journal
38
Issue
ISSN
Citations 
4
0748-8017
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Xiaojian Zhou1749.19
Leyan Wang200.34
Ting Jiang38918.32
Zihan Zhou400.34
Xuelong Hu501.69