Agenda
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Challenges and opportunities for data and AI in high-speed mass production
- It all begins and ends with Data Engineering; the unsung hero of the AI revolution
- Empowering the experts with data and AI tools
- Buy vs. make vs. build: how to be agile, but cost-efficient in a VUCA environment
- Small successes along the way: selected use cases in manufacturing
Enno De Lange, Director, Digital Transformation, Johnson Electric International
09:30 - 10:00
Driving maximum productivity through plant performance optimization
Holistic continuous improvement framework covering 3 key dimensions is needed to get maximum productivity in manufacturing set-up:
- Performance: Value creation in the form of performance improvement is always leading – It will demand a set of structured practices/methodologies to create max visibility on improvement potential (value)
- Practice: Fit for purpose tools & best practices to solve the problems & to improve the performance. Fit for purpose is key word here. Digitalization including data analytics also fits in here
- People: Mindset & behavior aspect, leadership elements, people development, communication & change management, recognition etc.
When these 3 dimensions together bring the maximum productivity. I have implemented this framework twice & got great results. It also helps to create self propelling productivity culture which can make my job redundant over time. This is also a proof of pudding, isn’t it.
Sachin Sankpal, Head of Group Excellence & Digitalization, Vynova Group
10:00 - 10:30
Balancing craftmanship and automation for higher output
- Context of the workshop starting situation
- Lean study
- Lay out and process flow improvement: one piece flow
- Bringing output to higher level with robotics
- Final results
Frank Timmermans, Head of OT & OpEx, Tessenderlo Group
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
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.
Taskin Kilincat, Senior Sales Manager – Digital Sales Direct, GE Vernova
12:00 - 12:30
The journey to the data-driven manufacturing
- Why we should pursue a data-driven approach
- The shop floor: first fix the basics
- Collect and correlate all the data you need: unified name space
- Use cases
Pier Giuseppe Dal Farra, Smart Industries Business Expert, Orange Business
12:30 - 13:00
Global production footprint: The key for the factory of future
- Production footprint at a turning point?
- What are current challenges of production companies?
- What are strategic guidelines to find the right footprint?
- How does a Factory of the future look like?
Carsten Freiherr von Hadeln, Principal, ConMoto Strategie und Realisierung GmbH
13:05 - 13:55
LUNCH
14:00 - 14:30
SmIoT X OpenSource: Empower and digitize the industry with open-source data driven intelligence
- Concept of “reality to virtual” and “virtual to reality”: Integrating digital twin and IoT into your manufacturing process
- The role of Open-Source Drives Innovation and Collaboration
- Increase Flexibility and Scalability of SMIoT systems and adapt to changing market demands and technological advancements more quickly and effectively
- Enhanced Data Utilization and Analytics with Open-Source
- Future of Manufacturing is Open and Connected
Arqum Ahmad, Digital Factory CTIO, Leonardo
14:30 – 15:00
Digital manufacturing Transformation in Danone: People, Value & Tech
- Digital Manufacturing Acceleration in a nutshell, unique approach to deliver holistic result
- Recipe of successful program: Mixture of right ingredients
- Value Stream
- Tech Stream
- People Stream
- Success factors of the program
Manuel Aguado Puertas, Global Digital Manufacturing Manager, Danone
15:00 – 15:30
Procedural Knowledge Governance in Manufacturing: PERKS project experience
The PERKS project experience: how creating, maintaining and using procedural knowledge in manufacturing
- Procedures and people competences in the shop floor: challenges
- PERKS Project Experience: What is a procedure? Holistic governance of procedural knowledge
- An application in manufacturing: LOTO (LogOut Tag-Out) safety procedure management in maintenance operations
Enrica Bosani, Manufacturing Innovation Project Manager, BEKO Europe
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Disrupting the status quo in global industry
- A systemic problem in global industry is having a hugely negative effect on business performance
- Most manufacturers and ecosystem suppliers are not aware of the issue
- A paradigm shift is required to deal with the global challenges we face
- This session will highlight the problem, propose solutions and present case studies
John Robinson, Managing Director, Kearney
17:00 - 17:30
Collective intelligence to facilitate productivity and innovation
- Use AI to facilitate collective intelligence and Boost productivity
- Facilitate Systematic innovation (incremental or disruptive) with guaranteed results 2 to 8 weeks
- Smart Open Innovation
Constant Ondo, CEO, PICC SOLUTION
17:30 - 18:00
AR/VR on the Pharmaceutical shopfloor
- Technology overview
- Technology history within JnJ
- Use cases at manufacturing site Leiden
- Use cases at manufacturing site Beerse
Alexander Vayzer, IT Lead Small Molecule Manufacturing Site, Johnson & Johnson Innovative Medicine
Tunde Akande, IT Lead Large Molecule Manufacturing Site, Johnson & Johnson Innovative Medicine
Roeland Bollen, IT Support Project Manager Engineering & Facility Services, Johnson & Johnson Innovative Medicine
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Connected Leadership, Employee Engagement and the role of Connected Workers on the Shopfloor
- Developing a vision for change and clearly articulating the benefits for your business and workforce
- How to develop a multi-site deployment strategy with scalable growth in mind from the start
- Harnessing big data and advanced analytics to drive informed decisions on the frontline
- Achieve improvements in efficiency, cost savings and customer satisfaction with predictive maintenance solutions
Hugo David Herrmann, Smart Factory and Operational Excellence – Europe & Asia, IAC Group GmbH
09:30 – 10:00
Opportunities of IoT for Smart Manufacturing
- Many companies want to start with a first IoT prototype implementation for smart manufacturing, but are not sure how this can be done in a cost and time efficient manner
- There are so many buzzword out there in the IoT domain, that it is really cumbersome to find out what technology is relevant for a prototype
- It will be also explained what e.g. Edge Computing, Streaming Ingest, Data Enrichment, Immutable Data Store means and how it can be used
- Finally it will be shown how a first IoT prototype can be built from scratch, following the principle “Start small, succeed fast, extend step-by-step”
Stefan Schleyer, Domain Principal Architect – Technology Development, SKF GmbH
10:00 - 10:30
How AI can bridge a global skills crisis
- In an age of automation and skills shortages how will the role of industrial workers change?
- Richard will share a vision of how AI and automation is augmenting the role of industrial workers and what changes organisations need to make to adapt
Richard Milnes, CEO & Co-Founder, Zaptic
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Unlocking Success: Harnessing Simulation Across the Lifecycle of a Production System
- How to utilize simulation along the lifecycle of a production linen
- Benefits of simulationn
- From idea to Digital Twin
Samuli Ahonen, Head of Simulation Experts, Visual Components
Liisa-Brett Sonnenberg, Sales Manager, Visual Components
12:00 – 12:30
Automated Image analysis for manufacturing control
- Why automate image analysis
- How to automate image analysis with one system only
- How to apply AI based image analysis in manufacturing
- How to enhance manufacturing control with those results
- How to combine image classification with other data
Michael Meinel, CTO, Convanit
Ines Thurner, CEO, Convanit
12:30 – 13:00
Accelerate business value creation through data
- Artificial Intelligence is opening new possibilities on top of existing data & analytics.
- Plenty of potential business use cases: predictive maintenance, dynamic production quality control, supply chain optimisation, anomaly detection
- The problem remains the same: no data, no data projects.
- Focus on what you want to achieve business-wise and get the data to flow to your projects with low-code governed stream integration.
Marc Delbaere, CEO, Digazu
13:05 - 13:55
LUNCH
14:00 - 14:30
Data Science @Eneco
- How to make successful data products
- What are the most common challenges?
- What works in practise?
- How to we validate our Models?
Kaustav Basu, Squad Lead Data Science, Eneco
14:30 - 15:00
Upskilling needs for future workforce
Key success factors for successful digital transformation : People, People & People
- How do you envisage future operator, engineer, management in manufacturing (from skills/competence point of view)
- In future, eco-system approach would be more visible where entire value chain would be connected & working together but are we ready for that from competence stand point ?
- Are we confident that we will get digital savvy talents across value chain to make it a success or find win-win ? Organizations are focusing a lot on digitalization without giving enough attention to human aspect.
- Are we optimizing our organization models/design accordingly ? Some of the macro factors – trend that we see in future generations, people want to work less due to work-life balance, many customers do not want to see suppliers F2F after Covid as hybrid mode works.
- How do we see our workforce should evolve, are the right talent strategies are in place to be ready for future digital era ?
Sachin Sankpal, Head of Group Excellence & Digitalization, Vynova Group