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International Journal of Production Research Volume 59, 2021 - Issue 15
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Articles

Bayesian hierarchical modelling for process optimisation

Linhan Ouyanga Department of Management Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaView further author information
,
Chanseok Parkb Department of Industrial Engineering, Pusan National University, Busan, KoreaORCID Iconhttps://orcid.org/0000-0002-2208-3498View further author information
ORCID Icon,
Yan Mac Department of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, ChinaView further author information
,
Yizhong Mac Department of Management Science and Engineering, Nanjing University of Science and Technology, Nanjing, ChinaView further author information
&
Min Wangd Department of Management Science and Statistics, The University of Texas at San Antonio, San Antonio, TX78249, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9233-7844View further author information
ORCID Icon
Pages 4649-4669 | Received 11 Sep 2019, Accepted 07 May 2020, Published online: 01 Jun 2020

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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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Linhan Ouyang, Shichao Zhu, Keying Ye, Chanseok Park & Min Wang. (2022) Robust Bayesian hierarchical modeling and inference using scale mixtures of normal distributions. IISE Transactions 54:7, pages 659-671.
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Shijuan Yang, Jianjun Wang & Yiliu Tu. (2022) Bayesian robust parameter design for ordered response. International Journal of Production Research 60:12, pages 3630-3650.
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Articles from other publishers (3)

Yanmei Cao, Boyang Li, Qi Xiang & Yuxian Zhang. (2023) Experimental Analysis and Machine Learning of Ground Vibrations Caused by an Elevated High-Speed Railway Based on Random Forest and Bayesian Optimization. Sustainability 15:17, pages 12772.
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An-Da Li, Zhen He & Yang Zhang. (2022) Robust multi-response optimization considering location effect, dispersion effect, and model uncertainty using hybridization of NSGA-II and direct multi-search. Computers & Industrial Engineering 169, pages 108247.
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Alexandru-Ciprian Zăvoianu, Edwin Lughofer, Robert Pollak, Christian Eitzinger & Thomas Radauer. (2021) A soft-computing framework for automated optimization of multiple product quality criteria with application to micro-fluidic chip production. Applied Soft Computing 98, pages 106827.
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