Smart Manufacturing workshop
On Wednesday 10 May, four parallel workshops will be organised on four emerging challenges for industry, including Smart Manufacturing.
Each workshop is set up as a panel with key players in the domain; large industry, academia, SMEs and customers, discussing main innovation trends in the specific challenge. An important element of the workshops will be the interaction with the audience, with ample room for Q&A.
As interaction with the audience is key, you can already be involved now and have an impact on the discussion! Check out the workshop focus points and share your opinion below.
The panellists and moderators
Alexander BentkusProject managerStandardization Council Industrie 4.0
More panellists will be confirmed soon.
This session is moderated by:
Smart Manufacturing - workshop focus
The digitalisation is affecting production and is expected to enable efficient lot size one and customer tailored production and/or support the servitization of the business, while minimising environmental footprints and overall costs. This workshop will address a couple of important aspects for the efficient and secure implementation of digitalisation technology in production systems. Topics to be addressed are:
- The IT security aspect of digitised production
Discussions on IT security proactivity and mitigation.
- Automation system engineering
Discussion on how to address engineering cost of legacy and Industri4.0 automation.
- Servitization or selling products
Servitization is the hype in all industries. To make this transformation - to sell services and solutions - requires significant change inside many traditional manufacturers. Companies have to recognise that the product is a platform to deliver a service.
- Lot size one Manufacturing
Discussion on the needs of the industry what to focus on.
- Personalised production
Production based on the online design or requirements of the end-user. Discussions on how it is possible and how it is beneficial and cost effective.
- Production and product data analytics
The real usage and benefits of big data analysis and cloud services. Success cases and gaps to be filled in.