{"title":"双层计算机模拟器的顺序拉丁超立方体设计","authors":"Yan Wang, Dianpeng Wang, Xiaowei Yue","doi":"10.1080/00224065.2023.2251178","DOIUrl":null,"url":null,"abstract":"AbstractThe two-layer computer simulators are commonly used to mimic multi-physics phenomena or systems. Usually, the outputs of the first-layer simulator (also called the inner simulator) are partial inputs of the second-layer simulator (also called the outer simulator). How to design experiments by considering the space-filling properties of inner and outer simulators simultaneously is a significant challenge that has received scant attention in the literature. To address this problem, we propose a new sequential optimal Latin hypercube design (LHD) by using the maximin integrating mixed distance criterion. A corresponding sequential algorithm for efficiently generating such designs is also developed. Numerical simulation results show that the new method can effectively improve the space-filling property of the outer computer inputs. The case study about composite structures assembly simulation demonstrates that the proposed method can outperform the benchmark methods.Keywords: composites structures assembly processesGaussian processmaximin criterionoptimal LHDprincipal component scores AcknowledgmentsWe are grateful to the editor and all reviewers for their excellent work. Their constructive criticism and suggestions significantly improved the quality of this manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe research of Yan Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12101024) and the work of Dianpeng Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12171033).Notes on contributorsYan WangYan Wang is an assistant professor at the School of Statistics and Data Science, Beijing University of Technology, Beijing, China.Dianpeng WangDianpeng Wang is an assistant professor at the School of Mathematics and Statistics, and the key laboratory of mathematical theory and computation in information security, Beijing Institute of Technology, Beijing, China.Xiaowei YueXiaowei Yue is an associate professor at the Department of Industrial Engineering, and Institute for Quality and Reliability, Tsinghua University, Beijing, China.","PeriodicalId":54769,"journal":{"name":"Journal of Quality Technology","volume":"28 1","pages":"0"},"PeriodicalIF":2.6000,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sequential Latin hypercube design for two-layer computer simulators\",\"authors\":\"Yan Wang, Dianpeng Wang, Xiaowei Yue\",\"doi\":\"10.1080/00224065.2023.2251178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractThe two-layer computer simulators are commonly used to mimic multi-physics phenomena or systems. Usually, the outputs of the first-layer simulator (also called the inner simulator) are partial inputs of the second-layer simulator (also called the outer simulator). How to design experiments by considering the space-filling properties of inner and outer simulators simultaneously is a significant challenge that has received scant attention in the literature. To address this problem, we propose a new sequential optimal Latin hypercube design (LHD) by using the maximin integrating mixed distance criterion. A corresponding sequential algorithm for efficiently generating such designs is also developed. Numerical simulation results show that the new method can effectively improve the space-filling property of the outer computer inputs. The case study about composite structures assembly simulation demonstrates that the proposed method can outperform the benchmark methods.Keywords: composites structures assembly processesGaussian processmaximin criterionoptimal LHDprincipal component scores AcknowledgmentsWe are grateful to the editor and all reviewers for their excellent work. Their constructive criticism and suggestions significantly improved the quality of this manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe research of Yan Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12101024) and the work of Dianpeng Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12171033).Notes on contributorsYan WangYan Wang is an assistant professor at the School of Statistics and Data Science, Beijing University of Technology, Beijing, China.Dianpeng WangDianpeng Wang is an assistant professor at the School of Mathematics and Statistics, and the key laboratory of mathematical theory and computation in information security, Beijing Institute of Technology, Beijing, China.Xiaowei YueXiaowei Yue is an associate professor at the Department of Industrial Engineering, and Institute for Quality and Reliability, Tsinghua University, Beijing, China.\",\"PeriodicalId\":54769,\"journal\":{\"name\":\"Journal of Quality Technology\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2023-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quality Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/00224065.2023.2251178\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quality Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/00224065.2023.2251178","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Sequential Latin hypercube design for two-layer computer simulators
AbstractThe two-layer computer simulators are commonly used to mimic multi-physics phenomena or systems. Usually, the outputs of the first-layer simulator (also called the inner simulator) are partial inputs of the second-layer simulator (also called the outer simulator). How to design experiments by considering the space-filling properties of inner and outer simulators simultaneously is a significant challenge that has received scant attention in the literature. To address this problem, we propose a new sequential optimal Latin hypercube design (LHD) by using the maximin integrating mixed distance criterion. A corresponding sequential algorithm for efficiently generating such designs is also developed. Numerical simulation results show that the new method can effectively improve the space-filling property of the outer computer inputs. The case study about composite structures assembly simulation demonstrates that the proposed method can outperform the benchmark methods.Keywords: composites structures assembly processesGaussian processmaximin criterionoptimal LHDprincipal component scores AcknowledgmentsWe are grateful to the editor and all reviewers for their excellent work. Their constructive criticism and suggestions significantly improved the quality of this manuscript.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThe research of Yan Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12101024) and the work of Dianpeng Wang was supported by the National Natural Science Foundation of China (Grant no. NSFC 12171033).Notes on contributorsYan WangYan Wang is an assistant professor at the School of Statistics and Data Science, Beijing University of Technology, Beijing, China.Dianpeng WangDianpeng Wang is an assistant professor at the School of Mathematics and Statistics, and the key laboratory of mathematical theory and computation in information security, Beijing Institute of Technology, Beijing, China.Xiaowei YueXiaowei Yue is an associate professor at the Department of Industrial Engineering, and Institute for Quality and Reliability, Tsinghua University, Beijing, China.
期刊介绍:
The objective of Journal of Quality Technology is to contribute to the technical advancement of the field of quality technology by publishing papers that emphasize the practical applicability of new techniques, instructive examples of the operation of existing techniques and results of historical researches. Expository, review, and tutorial papers are also acceptable if they are written in a style suitable for practicing engineers.
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days