An application of principal component analysis and logistic regression to facilitate production scheduling decision support system: an automotive industry case
Author:
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering
Link
http://link.springer.com/content/pdf/10.1186/2251-712X-9-14.pdf
Reference34 articles.
1. Aguilera AM, Escabias M, Valderrama MJ: Using principal components for estimating logistic regression with high-dimensional multi collinear data. Computational Statistics & Data Analysis 2006, 50: 1905–1924. 10.1016/j.csda.2005.03.011
2. Aytug H, Lawley MA, McKay K, Mohan S, Uzsoy R: Executing production schedules in the face of uncertainties: a review and some future directions. European Journal of Operational Research 2005,161(1):86–110. 10.1016/j.ejor.2003.08.027
3. Bewick V, Cheek L, Ball J: Statistics review 14: logistic regression. Critical Care 2005,9(1):112–118. 10.1186/cc3045
4. Brucker P: Production control: a universal conceptual framework. Production Planning and Control 2007,1(1):3–16.
5. Caricato P, Grieco A: A DSS for production planning focused on customer service and technological aspects. Robotics and Computer-Integrated Manufacturing 2009, 25: 871–878. 10.1016/j.rcim.2009.06.003
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. Machine learning-supported manufacturing: a review and directions for future research;Production & Manufacturing Research;2024-03-15
2. Work rate modeling of building construction projects using system dynamic to optimize project cost and time performance;International Journal of Construction Management;2022-09-29
3. Thematic analysis of sustainable ultra-precision machining by using text mining and unsupervised learning method;Journal of Manufacturing Systems;2022-01
4. Application and performance of machine learning techniques in manufacturing sector from the past two decades: A review;Materials Today: Proceedings;2021
5. A fuzzy multi-objective decision system for recoverable remanufacturing planning;Journal of Information and Optimization Sciences;2020-05-26
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