Agenda

DAY 1

REGISTRATION

CHAIRPERSON’S OPENING REMARKS

SMART EQUIPMENT AND SERVICE – HARNESSING THE POTENTIAL OF DATA

• Converting field service to digital
• Using enriched data to create customer value and build long-term relationships
• Using customer journeys to reposition product development
• Generating data insights for internal efficiency and new revenue sources

Juha Pankakoski , Executive Vice President Technology, Konecranes plc

Industrial and Social Impact of Additive Manufacturing

• Precision Additive Manufacturing
• Advanced Manufacturing
• Diamond Burnishing
• Decentralized Production

Prof. Julian Polte, Deputy Division Director, Head of Department Manufacturing Technologies, Fraunhofer Institute for Production Systems and Design Technology IPK

Data Driven Marine Ingenuity. From vision to reality

• Building a D&A Hub between already existing D&A Spokes
• The crucial role of a solid data foundation as jumping board for scalable AI
• Growth strategy on data teams for sustainable growth
• The crucial role of data literacy and how to develop this
• Orthogonality principle on developing data platforms — Balancing act between pragmatic value creation and architecture fundamentals

Ronald Root, Head of Data and Analytics, Van Oord

Innovating for the real world – Remote visual assistance for anyone, in any location, at any time

• Remote visual assistance tools (a.k.a. remote expert guidance tools) are used by all kinds of people, in all kinds of places and environments across the globe. From the tech savvy office worker in a highly connected city center, to the production worker at a rural industrial site.
• Building innovative tools that don’t just work in the city office, but also in the rural industrial location, comes with challenges.
  – What are the challenges of building real-time remote collaboration tools in the real world?
  – What are the risks if you deploy a solution that does not take these challenges into account?
  – What are some innovations to address these real world challenges?
• Bottom line: Learn how to deploy real-time collaboration tools, such as remote visual assistance, for large scale use in the real world. By anyone. Anywhere.

Alexander Sandstrom, Chief Technology Officer, XMReality

I’m sorry, but you need to fix the basics! “Struggling becoming data driven and using machine learning at scale?”

• Understand your strengths and your gaps on the road to becoming data driven. What most manufacturers understands but have ignored
• Self-assessment on your journey towards becoming a data driven company
• Lead by examples: Use cases that enables a company to become data driven
• Why we say that the smartest people work on the shop floor
• Everyone can’t be helped, work with those who want to change

Johan Jeppsson, IIoT & Industry 4.0 Solutions Architect, Orange Business

Additive Manufacturing – The future of smart and responsible Manufacturing

• Evolution of Additive manufacturing space
• Disruption of the industry with Start-up Players
• How has EOS been the global leader in this evolution?
• Responsible Manufacturing in a nutshell

Bernd Wiedmann, Head of Key Account Management, EOS GmbH
Syed Nameer, Senior Additive Manufacturing Consultant, EOS GmbH

XMANAI project – Explainability for AI Adoption in Manufacturing

• Challenges in AI technology deployment in Manufacturing Companies
• Key enablers for AI adoption
• The Explainable AI: the XMANAI approach
• Whirlpool’s use case: XAI in demand forecasting
• CNH’s use case: XAI for predictive maintenance

Enrica Bosani, Manufacturing Innovation Project Manager, Whirlpool

Enabling the shop floor to pave the way for efficiency and sustainability

• About CNH Industrial – Antwerp Plant
• Finding the way to industry 4.0
• Reducing panic call in an assembly environment

Philippe Berteele, Strategy & WCM Manager, CNH Industrial

Living a lean management approach in the digitalization of manufacturing processes

• How to develop a lean management approach to guide digitalization projects to success
• How can top management as well as the employees on the shopfloor be included to guarantee support and therefore success of digital transformation projects?
• From the first collection of data to an overarching digitized maintenance strategy – how can a European-wide roll out be strategized

Hugo David Herrmann, Smart Factory and Operational Excellence, IAC Group GmbH

3DQR INSIGHT: USING AR TO BRIDGE TODAY’S URGENT KNOWLEDGE GAPS

• Industry Challenge: Growing lack of qualified personnel, increasing complexity of tasks, and high employee turnover
• Solution – Industry 5.0 & AR: Combining real and digital worlds to address these issues, with AR as a key technology
• 3DQR’s AR Training & Assistance: Utilizes AR to place digital information exactly where it’s needed, enhancing training and task execution
• Benefits: AR facilitates rapid, efficient knowledge transfer, allows for easy creation of interactive learning scenarios, and provides just-in-time training
• Rapid ROI: 3DQR’s AR solution enables quicker creation of useful AR prototypes and faster roll-out, reducing time and cost

Maximilian Unbescheidt, VP, Head of Pre-Sales, 3DQR

Collective intelligence to facilitate productivity and innovation

• The time and costs required for the documentation of knowledge, the problems linked to multilingual environments, the management of tacit knowledge are, among other things, obstacles to the optimal use of collective intelligence
• How to capture, increase and share know-how? After the technological advances of Industry 4.0, Industry 5.0 puts people back at the center of solutions

Constant Ondo, CEO, PICC SOLUTION SA

PANEL DEBATE: How to Strive towards the Factory of the Future? Productivity, Flexibility and Sustainability

• Current Trends and Challenges in Industrial Manufacturing and Production
• Enabling people’s digital mindset and a learning culture
• Connecting OT and IT
• Scaling and combining Industry 4.0 and green technologies with IoT
• Change management challenges for industry in adopting digital
• Importance of the awareness of ethics and security impacts of digital technologies

MODERATOR:
Ronald Root, Head of Data and Analytics, Van Oord

PANEL MEMBERS:
Jesper Touboel, VP Operations, LEGO
Hugo David Herrmann, Smart Factory and Operational Excellence, IAC Group GmbH
Enrica Bosani, Manufacturing Innovation Project Manager, Whirlpool
Doug McKnight, EMEAI Digital Manufacturing Implementation Director, Dow

DAY 2

CHAIRPERSON’S OPENING REMARKS

Enabling the Shop Floor to Pave the Way for Efficiency and Sustainability

• Understand the direction and strategy to on going mobile on the shop floor
• Connect the worker and ensure right solution
• Product view and going agile ensure speed
• Change management to ensure staff support

Jesper Touboel, VP Operations, LEGO

End-2-End (E2E) Supply Chain optimization/reinvention

• To gain more supply chain resilience in volatile times
• To make your customer satisfied by >98 % OTIF
• To self-finance your growth in reducing cycle times
• Using a real time supply chain control tower

Wilhelm Schreiner, Partner, ConMoto

How to Use Industry 4.0 Key Technologies

• Big Picture of Smart Factory
• Practical Examples from Analytics to Advanced Analytics
• Digital Factory examples of simulations

Walter Huber, Director ME/PROD – Processes Methods and Tools (PMT) Group Manufacturing Engineering, Webasto Group

Industry 4.0 Implementation and Change Management Challenges (An Operators View)

• Establishing a digital strategy – creating strong foundations and looking at the long-term strategy, not quick wins.
• Technology evaluation and innovation – finding the right solution to your problem and avoiding the one size fits all approach. The options we see on the market place and how these options are just not refined enough yet to really make it easy for industry to adopt digital solutions. What works and what does not.
• Change Management challenges and building adoption – moving from technology PoC to pilot to implementation.

Doug McKnight, EMEAI Digital Manufacturing Implementation Director, Dow
Sarah Bodo, EMEAI Digital Operations Centre Leader, Dow

Digital infrastructures as the basis for implementing digital twinning

• What are the current issues with digital infrastructures?
• What are the requirements for adaptable digital infrastructures?
• Explanation of the blueprint for digital infrastructures
• Case study – Bike manufacturing company
• Conclusion and next steps

Maaike Slot, Project Manager Industry 4.0 Projects , University of Twente

To be disruptive using Technology

• Being a pioneer in technology adaptation
• Are off-the-shelf solutions enough?
• Augmented reality in Manufacturing
• Benefits of retrofit solutions and how to achieve them

Mahmood Afshari, Solutions Architect, SOFTEQ

Smart Connected Factory, connect new technologies with the assembly line

• Automatic full in line quality checks
• Torque technology meets Machine learning.
• Direct Operator Information Transfer via Smart Watch

Tobias Trunk, Head of Department, Supervisor – Factory Automation, Smart Connected Factory Europe, John Deere

Unsupervised learning for quality control in automated manufacturing

• Johnson Electric – who we are
• System architecture overview for deploying AI solutions
• Machine Learning methods for quality control
• Use case – automotive actuator noise assessment
• Unsupervised learning methods for quality control

Roman Klis, Senior Engineering Data Scientist, Johnson Electric Group

CHAIRPERSON’S CLOSE