Introduction to cyber manufacturing

被引：120

作者：

Lee J. ^{[1
]}

Bagheri B. ^{[1
]}

Jin C. ^{[1
]}

机构：

[1] Lee, Jay

[2] Bagheri, Behrad

[3] Jin, Chao

来源：

Bagheri, Behrad | 2016年 / Elsevier Ltd卷 / 08期

基金：

美国国家科学基金会;

关键词：

Big data; Cyber manufacturing; Cyber physical systems; Cyber security; Internet of things;

D O I：

10.1016/j.mfglet.2016.05.002

中图分类号：

学科分类号：

摘要：

Cyber manufacturing is transformative concept that involves the translation of data from interconnected systems into predictive and prescriptive operations to achieve resilient performance. It intertwines industrial big data and smart analytics to discover and comprehend invisible issues for decision making. With the advent of Internet-of-Things (IoT) and smart, predictive analytics technologies, companies have been building a networked data-rich environment, which calls for a systematic methodology to transform raw data into meaningful and actionable operations. This paper introduces a fundamental framework and architecture for cyber manufacturing systems. © 2016 Society of Manufacturing Engineers (SME).

引用

页码：11 / 15

页数：4

共 25 条

[1]

GE open innovation

[2]

Predix

[3]

Big Analog Data™ Solutions

[4]

Development of smart prognostics agents (WATCHDOG AGENT®)

[5]

Watchdog Agent™ prognostics toolkit for LabVIEW - IMS center

[6]

Industrie 4.0: smart manufacturing for the future

[7]

Lee J., Lapira E., Bagheri B., Kao H., Recent advances and trends in predictive manufacturing systems in big data environment, Manuf Lett, 1, 1, pp. 38-41, (2013)

[8]

Lee J., E-manufacturing-fundamental, tools, and transformation, Rob Comput Integr Manuf, 19, 6, pp. 501-507, (2003)

[9]

Lee J., Bagheri B., Kao H.-A., A cyber-physical systems architecture for industry 4.0-based manufacturing systems, Manuf Lett, 3, pp. 18-23, (2015)

[10]

Digital manufacturing commons

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