Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?-Reference-Cited by-同舟云学术

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Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?

Published:2020 Issue:3 Volume:53 Page:295-300
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Ansari Fazel,Nixdorf Steffen,Sihn Wilfried

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference47 articles.

1. Accenture. (2017). Technology Vision for Insurance.

2. Cost-Based Text Understanding to Improve Maintenance Knowledge Intelligence in Manufacturing Enterprises;Ansari;Journal of Computers & Industrial Engineering,2020

3. Human-Centered Cyber Physical Production System: How Does Industry 4.0 impact on Decision-Making Tasks;Ansari;Ieee Tesmcon,2018

4. Knowledge-Based Maintenance;Ansari;Instandhaltungslogistik, Carl Hanser Verlag,2018

5. PriMa: A Prescriptive Maintenance Model for Cyber-Physical Production Systems;Ansari;International Journal of Computer Integrated Manufacturing,2019

Cited by 7 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. Digital Twin in complex operations environments: potential applications and research challenges;2023 3rd Asia Conference on Information Engineering (ACIE);2023-01

2. Digital twin-based fault tolerance approach for Cyber–Physical Production System;ISA Transactions;2022-11

3. Maintenance-Free Factory: A Holistic Approach for Enabling Sustainable Production Management;IFAC-PapersOnLine;2022

4. An AI-enhanced Approach for optimizing life cycle costing of military logistic vehicles;Procedia CIRP;2022

5. Control, computing and communication in industrial cyberphysical systems with feedback;Journal of Physics: Conference Series;2021-11-01

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