Response modelling approach to robust parameter design methodology using supersaturated designs-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Response modelling approach to robust parameter design methodology using supersaturated designs

Published:2018-01-02 Issue:1 Volume:50 Page:66-75
ISSN:0022-4065
Container-title:Journal of Quality Technology
language:en
Short-container-title:Journal of Quality Technology

Author:

Chatterjee Kashinath¹,Drosou Krystallenia²,Georgiou Stelios D.³^ORCID,Koukouvinos Christos²

Affiliation:

1. Department of Statistics, Visva Bharati University, Santiniketan, India

2. Department of Mathematics, National Technical University of Athens, Zografou, Athens, Greece

3. School of Science, Royal Melbourne Institute of Technology, Melbourne, VIC, Australia

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/00224065.2018.1404316

Reference15 articles.

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel logistic regression-embedded 0–1 mixed-integer probabilistic robust design model to obtain optimum sustainable factor settings;Computers & Industrial Engineering;2024-09

2. Customer-Focused L- and S-Type Quality Characteristics-Based Robust Design Optimization Models to Find Optimum Conditions for the Experimental Processes;Arabian Journal for Science and Engineering;2022-09-06

3. Development of a multiple response-based mixed-integer nonlinear optimization model with both controllable and uncontrollable design factors;Computers & Industrial Engineering;2022-02

4. A fuzzy mixed-integer robust design optimization model to obtain optimum settings of both qualitative and quantitative input variables under uncertainty;Engineering Optimization;2021-12-29

5. Development of a bi-objective 0-1 mixed-integer nonlinear response surface-based robust design optimization model for unbalanced experimental data;Computers & Industrial Engineering;2021-08

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3