News & events
Mevea Seminar 2019 – Summary

Mevea Seminar 2019 – Summary

How are companies implementing Digital Twins in practice? What are the business benefits of Digital Twin technology across the product lifecycle? Why is Digital Twin technology important to drive innovation? Learn the answers to these questions and get an understanding of what Mevea Seminar 2019 was all about by reading the full summary!

The Greatest Finnish Digital Innovations at ICT Proposers’ Day

The Greatest Finnish Digital Innovations at ICT Proposers’ Day

With more than 3000 industry leaders and R&D professionals expected to participate, Digital Excellence Forum @ ICT Proposers' Day 2019 is one of the most important events Finland is organizing during its Presidency of the Council of the EU. At the event, Mevea will be demonstrating the next-generation port training simulator.

Mevea Seminar on October 3, 2019

Mevea Seminar on October 3, 2019

This year’s Mevea Seminar is dedicated to showing concrete applications of Digital Twin Technology as many businesses and industries are already taking advantage of the technology. Companies will illustrate practical examples and benefits of using Digital Twin throughout the product lifecycle for supporting the product development, sales/marketing, training and operations optimization by combining field data with the physics of Digital Twin.

Operator Training: Keeping Pace with the Port Industry

Operator Training: Keeping Pace with the Port Industry

The port industry has a history of innovating to meet the changing requirements of global shipping and trade. However, as cranes are becoming smarter and ports are becoming more digitized, how do you ensure that your simulation-based training reflects the capabilities and technology of the modern terminal and doesn’t risk becoming a disconnected island within your port?

Digital Twins enabling IIoT Machines

Digital Twins enabling IIoT Machines

While the pace of technology development in the heavy machinery industry accelerates, manufacturers continue to face demands for increased productivity and design complexity to meet global requirements and the emergence of smart, connected products. Collecting and storing the data will be a challenge, but how can OEMs analyze this amount of data and ultimately use the results to predict machine behavior and optimize operational efficiency?