Aerospace companies must maximize the availability of their fleets while anticipating and mitigating costly disruptions. Data is the key. Extracting the full value of exponential amounts of complex data in the context of its usage can help reduce support costs and downtime, providing a competitive advantage. Innovative companies are benefiting from virtual twin experiences and big data analytics technologies on a collaborative platform for efficient and effective digital maintenance, repair, and overhaul.
This 60-minute Webinar will demonstrate how aerospace companies can implement predictive analytics to achieve continuous improvement with data science.
Topics include:
- Minimizing time to repair through short feedback loops with field services
- Collaborating seamlessly between operators, suppliers, and service organizations
- Boosting aircraft reliability through long feedback loops with design and engineering
- Anticipating part replacement
- Adding more flexibility to the supply chain
- Improving global aircraft availability
An audience Q&A session will follow the technical presentation.
Speakers:
Camille Chimot, Senior Industry Process Consultant, NETVIBES, Dassault Systèmes
Camille Chimot is a NETVIBES Industry Process Consultant for Dassault Systèmes, where she has worked for 10 years. She previously served in a support capacity before moving to technical sales. Camille began her career as a systems engineer at Thales, the French technology group. She enjoys helping customers with their digital transformations and leveraging her expertise in data analysis and decision-making dashboards.
Stephan Erben, Portfolio Senior Manager, Data Science Experiences, Dassault Systèmes
Stephan Erben works in Dassault Systèmes' R&D organization as the Portfolio Manager for the development of data science experiences, where he leverages big data and machine learning technology that is applied to the operations domain. He started his career as a technician in industrial control, regulation, and automation, where he acquired a strong process knowledge by doing instrumentation, programming control/command, automation, and optimization systems. Stephan previously led an MES department for 20 years at a system integrator company until he joined APRISO, which was later acquired by Dassault Systèmes, where he has since held various roles.
Moderator:
Amanda Hosey, Editor, SAE Media Group
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