Introduction and trends within predictive maintenance
How to combine simulated and collected data for the optimisation of the production process?
Many production facilities are already collecting, storing and analyzing data. With new technologies like digital twins and IoT, we get new possibilities, by utilizing new data-sources and combining monitored data with simulated data.
In this webinar, the speakers will talk about current mega-trends, on-going research and describe the current cases within the fields of Digital Twins and IoT. You will get an introduction to how new digital technologies can give new insights for optimization of production processes and predictive maintenance.
Who should participate?
We recommend participation to engineers, project managers, development managers, production site managers, VP's, directors and similar in the life science sector, including biotechnology and pharmaceutical companies, that wish to learn more about utilising the full potential of new technology to optimise the production process.
Meet your hosts
Svend Skovgaard Petersen is a specialist within fluid mechanics, simulations and project manager of ongoing innovation project within simulation driven digital twins. Svend will introduce you to current and upcoming possibilities and trends happening within the field of combining high fidelity simulations and digital twin prototypes from the design phase with live data for predictive maintenance.
Morten Wagner is a dedicated IoT evangelist and part of FORCE Technology's new unit for IoT, Data and Service Innovation. Morten will speak about state-of-the-art and future sensor-technologies and -applications within the IoT that can support new insights and optimisation of the production process.
Series of webinars targeted to life science throughout 2020
This webinar is part of a series of webinars about technological innovation and solutions tailored to he life science sector. Amongst topics, you can learn more about during 2020, are:
- Optimisation of the production process and facilities using simulations, IoT, monitoring and data-driven measurements
- IoT-driven supply chain management
- Quality ensurance, focusing on hygiene, aseptical production and avoiding contamination
- Ensuring green medical products: Life cycle analysis (LCA), carbon footprint and total cost of ownership (TCO)
- Green production processes: Improving the environmental impact of your production
- Creating smarter medical devices: IoT, services and product development
- Sustainability as a factor in product approval