Journal
PROCEEDINGS OF THE IEEE
Volume 109, Issue 4, Pages 495-516Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JPROC.2020.3032074
Keywords
Smart manufacturing; Digital systems; Intelligent sensors; Process control; Sensor systems; Service robots; Computer crime; Fourth Industrial Revolution; Robot sensing systems; Machine components; Virtual manufacturing; Digital manufacturing (DM)
Categories
Funding
- National Science Foundation Cyber-Physicaln Systems [CMMI-1932264]
- NSF [DGE-1931724, CCF-1934904]
- NYU Center for Cybersecurity
- NYU Center for Urban Science and Progress
- NSF Science & Technology Center [CCF-0939370]
- U.S. Army Research Office [W911NF-18-10331]
- U.S. Army Research Laboratory [W911NF-19-2-0243, W911NF-19-2-0033]
- U.S. Office of Naval Research (ONR) [N00014-18-1-2048]
- Department of Energy [DE-EE0009031]
- Qatar National Research Foundation [9-069-1-018]
- National Science Foundation [CMMI-1432914, SAS INT-1849085]
- Texas A&M University's X-Grants Program
- NYU-AD Center for Cybersecurity
Ask authors/readers for more resources
The Industry 4.0 concept advocates a digital manufacturing paradigm to enhance production efficiency and quality through the integration of various manufacturing technologies and systems.
The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of additive, subtractive, and hybrid manufacturing machines, automation and robotic systems, sensors, computing, and communication networks, artificial intelligence, and big data. A DM system consists of embedded electronics, sensors, actuators, control software, and interconnectivity to enable the machines and the components within them to exchange data with other machines, components therein, the plant operators, the inventory managers, and customers. This article presents the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM.
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