16th - 17th May 2024
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.
John Schneiderberg, Sr Channels Director, 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
PLANNED INVESTMENT AREAS
- COVID-19
- Digital Technology
- 5G
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- 3D Printing for Digital Manufacturing
- Manufacturing Footprint Optimization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Robotic Automation
- Sustainability 4.0
- Industrial Automation & Control solutions
- Data Governance
- Digital/Software Adoption
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Plant Safety & Inspection
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Blockchain
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- Augmented & Virtual reality (AR & VR)
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
13:05 - 13:55
LUNCH
14:00 - 14:30
EMPOWERING MANUFACTURING EFFICIENCY: UNLEASHING PROCESS OPTIMIZATION
- Digitized Workflows: Transitioning manual processes into streamlined, digitized workflows, reducing bottlenecks
– Positioning of different systems in a dynamic business landscape and Lean Transformation
– Role of MOM systems on digitalization of real life manufacturing flows - Real-time Insights: Leveraging data analytics to provide manufacturing leaders with actionable, real-time insights for informed decision-making
– Impact of real time data on asset utilization and operational improvements
– Balancing data interaction while combining different elements and interfacing data sources
Alexander Moentjens, Global Program Lead for Digital Manufacturing and Intelligent Processes, Bekaert
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
PLANNED INVESTMENT AREAS
- COVID-19
- Digital Technology
- 5G
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- 3D Printing for Digital Manufacturing
- Manufacturing Footprint Optimization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Robotic Automation
- Sustainability 4.0
- Industrial Automation & Control solutions
- Data Governance
- Digital/Software Adoption
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Plant Safety & Inspection
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Blockchain
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- Augmented & Virtual reality (AR & VR)
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
17:30 - 18:00
INDUSTRY 5.0: THE NEXT PHASE THAT'S NOW
- Predicting which nascent trends will define the next decade of manufacturing
- Identifying common themes during technology leaps and transitions and applying them to what we are seeing now
- Positioning your company and team so that they are ready for industry and sector-wide transitions
- Staying up-to-date on emerging technologies and tools
- Navigating change while keeping company values consistent and goal-oriented
Alexander Vayzer, IT Lead Small Molecule Manufacturing Site, Johnson & Johnson Innovative Medicine
Tunde Akande, IT Lead Large Molecule Manufacturing Site, 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
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
PLANNED INVESTMENT AREAS
- COVID-19
- Digital Technology
- 5G
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- 3D Printing for Digital Manufacturing
- Manufacturing Footprint Optimization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Robotic Automation
- Sustainability 4.0
- Industrial Automation & Control solutions
- Data Governance
- Digital/Software Adoption
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Plant Safety & Inspection
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Blockchain
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- Augmented & Virtual reality (AR & VR)
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
12:30 – 13:00
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, PO Manufacturing Competence Centre, Head of Digital Solutions, Leonardo
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