Integrated multiresponse parameter and tolerance design with model parameter uncertainty-Reference-Cited by-同舟云学术

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Integrated multiresponse parameter and tolerance design with model parameter uncertainty

Published:2019-11-17 Issue:1 Volume:36 Page:414-433
ISSN:0748-8017
Container-title:Quality and Reliability Engineering International
language:en
Short-container-title:Qual Reliab Engng Int

Author:

Han Yunxia¹,Ma Yizhong¹^ORCID,Ouyang Linhan²^ORCID,Wang Jianjun¹^ORCID,Tu Yiliu³^ORCID

Affiliation:

1. Department of Management Science and EngineeringNanjing University of Science and Technology Nanjing 210094 China

2. College of Economics and ManagementNanjing University of Aeronautics and Astronautics Nanjing 211106 China

3. Department of Mechanical and Manufacturing EngineeringUniversity of Calgary Calgary Canada

Funder

Natural Sciences and Engineering Research Council of Canada

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management Science and Operations Research,Safety, Risk, Reliability and Quality

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qre.2589

Reference49 articles.

1. AN INTEGRATED METHOD OF PARAMETER DESIGN AND TOLERANCE DESIGN

2. ECONOMIC INTEGRATION OF DESIGN OPTIMIZATION

3. An Integrative Loss Function Approach to Multi-Response Optimization

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1. Optimisation of Multiple Response Processes Using Different Modeling Techniques;Quality Innovation Prosperity;2023-12-01

2. A Novel Robust Design Method Based on the Coordinated Mechanism of Surrogate Models;2023 3rd International Conference on Computer, Control and Robotics (ICCCR);2023-03-24

3. Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method;Quality Technology & Quantitative Management;2023-01-06

4. Experimental tolerance design of robot manipulators accounting for positioning accuracy reliability;Quality and Reliability Engineering International;2022-12-19

5. An improved reliability-based robust design optimization method using Bayesian seemingly unrelated regression and multivariate loss function;Structural and Multidisciplinary Optimization;2022-01-31

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