过程(计算)
透视图(图形)
计算机科学
信息物理系统
工业4.0
数据科学
光学(聚焦)
互联网
管理科学
过程管理
工程管理
业务
工程类
人工智能
数据挖掘
操作系统
物理
万维网
光学
作者
Bianca Maria Colosimo,L. Allison Jones‐Farmer,Fadel M. Megahed,Kamran Paynabar,Chitta Ranjan,William H. Woodall
出处
期刊:Technometrics
[Taylor & Francis]
日期:2024-03-13
卷期号:66 (4): 507-530
被引量:23
标识
DOI:10.1080/00401706.2024.2327341
摘要
Industry 4.0 has emerged as an important era for process monitoring and improvement. Our expository paper provides a historical perspective on research and practice of statistical process monitoring (SPM) from the 1920s to the present to bring a high-level view of current practice and research directions. We focus on the Industry 4.0 era, which began around 2011 with the introduction of cyber-physical systems and the growth of the Internet of Things. These technological changes have brought tremendous challenges and opportunities to SPM that can only be met with new paradigms for the problems we aim to solve and the approaches we use to evaluate SPM methodology. We provide our perspective on these challenges, primarily focusing on industrial applications. We give recommendations on the evaluation and comparison of monitoring methods to improve the usefulness of research in this area.
科研通智能强力驱动
Strongly Powered by AbleSci AI