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Quality Technology & Quantitative Management Volume 18, 2021 - Issue 5
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Research Article

Bayesian online robust parameter design for correlated multiple responses

Shijuan YangDepartment of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, ChinaView further author information
,
Jianjun WangDepartment of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0323-0365View further author information
ORCID Icon,
Xiaolei RenDepartment of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, ChinaView further author information
&
Tingyu GaoDepartment of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, ChinaView further author information
Pages 620-640 | Accepted 02 Jul 2021, Published online: 20 Jul 2021

Citations (5)

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Read on this site (4)

Yan Ma, Jianjun Wang & Yiliu Tu. (2024) Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method. Quality Technology & Quantitative Management 21:1, pages 88-110.
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Abhinav Kumar Sharma, Indrajit Mukherjee & Sasadhar Bera. (2023) A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes. International Journal of Production Research 61:13, pages 4322-4340.
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Shijuan Yang, Jianjun Wang, Yiliu Tu, Yunxia Han, Xiaolei Ren, Chunfeng Ding & Xiaoying Chen. (2023) Robust multi-response surface optimisation based on Bayesian quantile model. International Journal of Production Research 61:10, pages 3260-3278.
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Cuihong Zhai, Jianjun Wang, Zebiao Feng, Yan Ma & Haisong Deng. (2022) Robust parameter design of mixed multiple responses based on a latent variable Gaussian process model. Engineering Optimization 0:0, pages 1-18.
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Articles from other publishers (1)

Taha-Hossein Hejazi. (2022) A scenario-based desirability function for correlated multi-response optimization problems considering modeling and implementation errors. Journal of Computational Science 63, pages 101764.
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