Optimizing mean and variance of multiresponse in a multistage manufacturing process using operational data
Author:
Affiliation:
1. Division of Interdisciplinary Industrial Studies, Hanyang University, Seoul, Republic of Korea;
2. Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang, Republic of Korea
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2020.1712727
Reference24 articles.
1. PRIM versus CART in subgroup discovery: When patience is harmful
2. A method for robust process design based on direct minimization of expected loss applied to arc welding
3. Bump Hunting for Risk: a New Data Mining Tool and its Applications
4. Analyzing Experiments with Correlated Multiple Responses
5. A data mining approach to process optimization without an explicit quality function
Cited by 8 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. Enhancing Cascade Quality Prediction Method in Handling Imbalanced Dataset Using Synthetic Minority Over-Sampling Technique;Industrial Engineering & Management Systems;2023-12-31
2. Process Quality Control Method for Three-Cylinder Engine Balance Shaft System Oriented to Manufacturing Supply Chain;Applied Sciences;2023-09-28
3. A scenario-based desirability function for correlated multi-response optimization problems considering modeling and implementation errors;Journal of Computational Science;2022-09
4. A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes;International Journal of Production Research;2022-07-04
5. EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method;Expert Systems with Applications;2022-06
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