Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
F. Ansari, S. Nixdorf, W. Sihn:
"Insurability of Cyber Physical Production Systems: How Does Digital Twin Improve Predictability of Failure Risk?";
Vortrag: Online Conference - 4th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies - AMEST 2020,
Cambridge, UK;
10.11.2020
- 11.11.2020; in: "IFAC-PapersOnLine",
A. Parlikad et al. (Hrg.);
53/3
(2020),
S. 295
- 300.
Kurzfassung englisch:
Original equipment manufacturers (OEMs), machine operators and suppliers are three main stakeholders in today´s industrial asset management lifecycle. Considering high rate of investment and prices to purchase and operationalize secured IoT-based production systems, insurance companies explore contributing into industrial asset management lifecycle by providing new products to transparently monitor online condition and operation status of industrial machines, and accordingly adjust the insurance prices and offers. Hence, joint efforts and cross-disciplinary research is vital to introduce a new insurance product, i.e. failure-based insurance, gaining benefits from AI technologies and knowledge-based maintenance approaches. This paper provides insights into the aforementioned problem, and presents the work-in-progress research on failure-based insurance model aided by Digital Twin technology. Finally, the practical implications and future research directions are outlined.
Schlagworte:
Cyber-Physical Production Systems; Industry 4.0; Intelligent maintenance systems; Knowledge discovery; AI for business and economy; Data driven decision making
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1016/j.ifacol.2020.11.063
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.