Smart Manufacturing workshop

On Wednesday 10 May, four parallel workshops took place on four emerging challenges for industry, including Smart Manufacturing.

Each workshop was 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 was the interaction with the audience, with ample room for Q&A.

As interaction with the audience was key, participants were asked upfront to share their opinion. Check out their comments or share your opinion below.

You can find the presentation of the Smart Manufacturing workshop and other presentations given at the Digital Innovation Forum 2017 here


The panellists and moderators


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 addressed a couple of important aspects for the efficient and secure implementation of digitalisation technology in production systems. Topics that were addressed:

  • 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.

The expected outcome is identification of technology, operational and organisational gaps for which new knowledge and strategies are needed.