Welcome to GBR’s FTWorX

22nd – 23rd November 2021, Berlin

Future Technologies, FTWorX – A GBR Community Meeting is taking place in Berlin, Germany. This closed-door gathering of senior executives is a truly unparalleled opportunity to share meaningful and honest dialogue in a media-free environment.

Participants

FTWorX Participants Include

and many more…

Speakers

FTWorX Speakers Include

Juha Pankakoski

Juha Pankakoski

Executive Vice President

Gunter Beitinger

Gunter Beitinger

SVP Manufacturing

Gernot Schaefer

Gernot Schaefer

Vice President

Sarah Bodo

Sarah Bodo

Digital Operations Center Leader Europe

Peter Grimvall

Peter Grimvall

Supply Chain Design and Planning Manager

and many more…

Agenda

DAY 1 – 22nd November 2021
08:00 – 08:40  
REGISTRATION
08:45 – 08:50 
CHAIRPERSON’S OPENING REMARKS
08:55 – 09:30
A holistic approach to successfully drive digital transformation
  • Our Picture of the (digital) Future
  • Come up with your focus areas
  • Link the picture to tangible projects
  • Everybody is part of the journey
  • Achievements
  • Q&A

Dr. Gunter Beitinger , SVP Manufacturing & Head of Factory Digitalization, Siemens

09:30 – 10:05
The Role of Culture in Digital Transformation
  • Enabling digitization does not only include our technology but also our organisation.
  • It is vital to ensure a cultural change when companies roll out the implementation of new digital technologies.
  • Innovation is key but it seems to be lacking in the new digital age, why? This will be what we investigate as the core points which need to be addressed:
  • Empowering people
  • Dangers of Digital Amnesia
  • Value first not technology
  • Our perception of change vs reality
  • Remote working capabilities

Curtis Carson, Head of Engineering Development System, Airbus Defence & Space

10:05 – 10:40
Success stories of digital champions on their transformation journey
  • Implementation of production control towers to drive advanced planning
  • Predictive maintenance, end-2-end traceability and digital twin solutions to improve asset utilization and factory efficiency
  • Quantitative benefits and recommendation for a successful scale-up

Reinhard Geissbauer, Executive Managing Director, PwC

10:45 – 11:35
COFFEE BREAK
11:35 – 12:05
Securing the IoT eco-system for the future: The answers to the common questions
  • What are the most important considerations for an IoT device manufacturer when it comes to security? Including what policies and standards must be adhered to
  • Are there other complimentary emerging technologies which IoT could collaborate with to change the game?
  • Is transparency between users and manufacturers the key to a truly secure ecosystem?
  • What are some best practice recommendations as we navigate the IoT era?

12:05 – 12:35
Unlocking the value of massive sensor data at the edge
  • As Europe’s leading automotive manufacturer, we have billions of IoT devices processing, analysing and reacting to data on the edge with an explosion in the volumes of new data available to us daily
  • Our greatest challenge lies in accessing and utilizing the full potential of our data analytics and the respective business intelligence it can make available to us
  • Case study: How manufacturers can use edge computing to gain instant feedback, optimize processes, utilize predictive insights to gain a deeper understanding from treasure troves of sensor data

12:35 – 13:05
New Interconnected I40 Ecosystems
  • Old Solutions Paradigms
  • New Technology Enabled Platforms
  • Future Smart Factory Scenarios
  • Chances for SME and Challenges for Solution Providers

Gernot Schaefer, Vice President, ROI Efeso

Planned Investment Areas:
  • COVID-19
  • Digital Technology
  • 5G
  • Artificial Intelligence
  • Machine & Deep Learning
  • Plant Safety & Inspection
  • Industry 5.0
  • 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
  • M2M Communication
  • Wearable Digital Technology
  • Asset Performance Management (APM 4.0)
  • Sensors
13:05 – 13:55
LUNCH

COVID-19

Artificial Intelligence

14:00 – 14:35
Proceeding with the COVID-19 Impact in Manufacturing and Planning A New Future will include:
  • Customer Experience: Personalization and finding individualized value proposition
  • Direct-to-Consumer and Mass Customization: 90% growth in the future coming from D2C
  • Innovation Platforms: New product introduction escalates as manufacturers move to information-based services
  • Industry Collaborative Clouds: An enabler of new business models
  • Networked Manufacturing: Effectivity, costs and logistics optimization
  • Digital, resilient, lean: Managing the smart factory of tomorrow
  • The augmented worker: Superheros on the shopfloor
  • “Thinking” Supply Chain: Connected, cognitive, comprehensive, collaborative, cyber-aware
  • Next generation industrial technology: Global trends, local use cases
14:00 – 14:35
Breaking Down the Convergence; how to Implement the Technologies of Now Blockchain
  • AI & IoT – which technology do you start with?
  • Which technology is fundamental for process optimization, while ensuring Scalability and Interoperability?
  • Are there key applications that can help implement convergent technologies into your current systems?

Karl Prag, Global Head of Data and Information Management, IKEA
Peter Grimvall, Supply Chain Design and Planning Manager, IKEA

14:35 – 15:10
Real Deployment of Industrie 4.0: Digitalization Manufacturing – Ambition and Reality – Post COVID-19
  • Optimisation across the value chain – linking digitization to Lean
  • The current capabilities and limitations of Industrie 4.0
  • Maximising the potential of digitization in design, manufacturing, assembly and services
  • Implementing a digital culture to help implementation
14:35 – 15:10
CASE STUDY – How to deliver step changes in manufacturing execution systems with predictive insights using AI/ML and pharma 4.0
  • What are your biggest pain points with manufacturing execution systems selection implementation and how can common pitfalls and challenges be avoided, or overcome?
  • How can you best use network analytics and modelling to support digital engineering in manufacturing operations?
  • How can digital twins help R&D develop more efficient processes for manufacturing?

Téma Benhalima-Bouville, Head of Strategy & Transformation, ENGIE

15:10 – 15:45
Case Study: Putting the ROI into Digital Technologies, A Company’s Digital Transformation Journey, how did we make it happen – One Vision, One Goal
  • Was digitization forced due to COVID-19 or was it a natural journey?
  • The struggles of moving from a traditional manufacturing company to implementing IoT
  • Knowing the goal and vision but how do we get there? Taking into consideration global restrictions
  • How to implement productivity, flexibility, and modularity in the manufacturing process?
  • Connecting machine to machine for complete communication in production to ensure manufacturing efficiency
  • Real time data analysis for production and predictive maintenance
15:10 – 15:45
Key Industrial Trends to Date with AI and IOT. What can we Expect from 2022?
  • Where are we now versus where we would be before the COVID-19 pandemic?
  • The economic and political landscape – what does the future hold for the manufacturing industry?
  • What are the current obstacles for manufacturers to ready themselves for Industry 5.0?
  • Current challenges in IIoT transformation
  • What will it take to make industry 5.0 real?
15:45 – 16:10
COFFEE BREAK
16:15-16:45
CASE STUDY – Embracing the global digital manufacturing revolution
  • What are the pragmatic truths of implementing digitalised manufacturing in operations
  • Separating Myth from Reality: How can you decide which Industry 4.0 projects (IoT, robotics, RPA and data analytics) to invest in to deliver a proven ROI?
  • How do manufacturers deliver a successful Industry 4.0 technology project?
  • Implementing continuous manufacturing through digitisation: From vision to reality

16:45-17:15
Machine Learning and smarter ways to make Data-Driven decision in Predictive Maintenance
  • The impact of shifting consumer preferences, technology and COVID-19 on enterprise supply chains
  • How to secure future competitiveness by transforming supply chains from disconnected functions into agile, connected, and automated supply chains
  • Real life examples of the results companies have gained by making intelligent manufacturing happen

Planned Investment Areas:
  • COVID-19
  • Digital Technology
  • 5G
  • Artificial Intelligence
  • Machine & Deep Learning
  • Plant Safety & Inspection
  • Industry 5.0
  • 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
  • M2M Communication
  • Wearable Digital Technology
  • Asset Performance Management (APM 4.0)
  • Sensors
17:20 – 17:55
PANEL DEBATE: ARM Industry Update: The Impact of the COVID19 Pandemic on CGT Manufacturing
  • What are the immediate and long-term implications for manufacturers, supply chains and on-site operations?
  • Navigate the current landscape as well as ongoing initiatives nationwide in developing guidelines for cGMP and Process Improvement
  • NextGen Manufacturing – keeping up to date with new innovative technologies and trends

Panel Members:

Michael Thierschmann, Vice President Production Unit, KION Group

18:00 – 19:00
DRINKS RECEPTION
DAY 2 – 23rd November 2021
08:45 – 08:50
CHAIRPERSON’S OPENING REMARKS
08:55 – 09:30
Industry 5.0 – And the Impact on Manufacturing Execution Systems
  • Implement global and local MES for Smart manufacturing solutions
  • Which manufacturing strategy to consider when deploying MES?
  • Where is the ROI in Industry 5.0 and MES?
  • Advice from manufacturers already implementing MES for Industry 5.0
09:30 – 10:05
The Cultural Change Needed in Industry
  • A change in technology requires a change in an organisation
  • Approaches to get momentum and to keep it to achieve the needed change
  • Empowerment of people to close the skills and learning gap
  • Combining the skills and strengths of human beings and machines
  • Holistic recognition of human being – there is more than the rational part of the brain

Josef Kriegmair, Representative Production Turbine Blade / Structure Castings, MTU Aero Engines

10:05 – 10:40
How Machine Learning & AI are Boosting the new concept of Industry 5.0 (I5.0)

Create value from date is easier said than done. The manufacturing Industry has challenges to face such as combining legacy assets with new digital technologies. But these challenges also create opportunities.

  • How we as an process manufacturer apply a 3-D approach based on:
    1. Bringing new skills (internal and open innovation)
    2. Strategy and governance (including change management)
    3. Infrastructure (data lakes)
  • As a site we leverage this strategy to scale-up machine learning and AI and we’ll give concrete examples of enterprise-wide value creation:
    1. Our large scale Smart Innovative Operations program e.g. predictive maintenance, detecting energy drift
    s, optimization through a digital twin
    2. What perspectives and other use cases for Air Liquide and the Industry

Michael Thierschmann, Vice President Production Unit, KION Group

10:45 – 11:10
COFFEE BREAK
11:15 – 11:45
Operations Digitalization – Data & System Cross Functional Collaboration and Integration
  • Understand the importance of your data & system constraints in CMOs management
  • Begin the transformation from a tactical and isolated approach to data & system management, to a cross functional and coherent approach to data management
  • Identify the realities of a data and system landscape for your company: Putting in place a road map to achieving integrated data & system landscape

11:45 – 12:15
The Digital Twin of the Real World
  • The new trend in operations with AI and Data has significantly changed the way we manage assets from physical to digital
  • A new generation of employees and customers who are fundamentally comfortable with the digital workplace
  • What new skills will workers need, and what are the challenges as we implement these new technologies?
  • What are the risks?
  • Wireless networks, wearable devices, cloud-based intelligence and smart sensors
  • How can this improve the reliability of the physical world?
12:15 – 12:45
Complexity involved with renewals of IoT subscriptions in the long-term

This presentation is about the complexity involved in sourcing and billing for IoT connectivity and how companies can be enabled to benefit from recurring IoT subscription. Based on examples including IoT connectivity in consumer and industrial use cases, we will highlight the following:

  • The challenges involved in including cellular connectivity in your product pricing strategy
  • Compliancy with market specific telecom regulations
  • Consumer identification during the onboarding process
  • The different triggers for subscription renewals

Planned Investment Areas:
  • COVID-19
  • Digital Technology
  • 5G
  • Artificial Intelligence
  • Machine & Deep Learning
  • Plant Safety & Inspection
  • Industry 5.0
  • 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
  • M2M Communication
  • Wearable Digital Technology
  • Asset Performance Management (APM 4.0)
  • Sensors
12:50 – 13:40
LUNCH

PdM 4.0

Digital Technology

13:45 – 14:15
Examples from Real Implementation of Artificial Intelligence and Machine Learning to improve Equipment Reliability
  • The benefits of AI to improve equipment reliability remotely
  • An example of real-life AI to better performance
  • Key learnings from AI implementations related to:
    – Where to begin?
    – What tools are needed to be successful?
    – What are the common hurdles and mistakes?
13:45 – 14:15
Evolving MES supporting Digital Plant – Hybrid Cloud MES
  • As businesses prepare to change its factories into digital factory, it is important to understand how systems, such as manufacturing execution system (MES) software, can help manage these changes.
  • See how Hybrid Cloud MES is enabling manufacturing businesses to digitize the operations by connecting systems, processes and factories across manufacturing network.
14:15 – 14:45
The Power of the Smart Factory: Connecting Machines to Maintenance and Reliability Professionals
  • Break the trade-off: Leveraging the power of the smart factory to help workplace safety
  • How to use PdM to help digital maintenance
  • IoT – Physical-to-digital-to-physical loop and related technologies
  • Build the foundation and the seven maintenance pillars: People, parts, documents, tools, equipment, technology and maintenance strategy and processes
14:15 – 14:45
How to scale up the implementation of IoT enabled technologies to accelerate Value in the Processing Industries
  • Where are we today with the deployment of IoT Solutions post COVID-19?
  • How do we move from pilots to roll-outs and larger scale projects ensuring employee safety within governmental guidelines?
  • Highlights of value generation for customers
  • Key recommendations and takeaways

Sarah Bodo, Digital Operations Center Leader Europe, DOW
Doug McKnight, EMEAI Manufacturing 4.0 Director, DOW

14:45 – 15:15
Revolutionizing Industrial Maintenance with Machine Learning and Advanced Analytics
  • Reduce downtime and minimize equipment failure through adopting Machine Learning
  • Balancing multiple sources of data to predict and determine optimal repair time
  • Identifying defects and errors as they occur so they are fixed immediately
  • Machine learning algorithms can determine regular maintenance schedules by utilizing historical data to identify patterns of equipment failure
  • The PdM 4.0 Reliability Engineering vision: Data can be taken automatically from inside the machine without the need for a manual check
14:45 – 15:15
Asset Intelligence: Sustaining the benefits of Digital Technologies and Industry 5.0
  • Improve responsiveness to outages with work and asset performance management in context of Industry 5.0 (Asset Performance Management)
  • Investing in new Digital Technologies
  • Maintenance data collection infrastructure for assets, extract data from sensors and cyber physical systems on the shop floor
  • Applications: Sensor data streams, Static data and Data from the equipment
  • Align the organization with best practices
15:15 – 15:30
COFFEE BREAK
15:35 – 16:05
PANEL DEBATE: Creating a Roadmap to Successfully integrate Artificial Intelligence with The New Normal in Manufacturing
  • European governments have lifted lockdown, but it will not spell a return to the old “normal”
  • The virus still lurks and the ability to contain its spread will dictate what happens now
  • Innovation with robotics and 5G: The process of implementing RPA – looking into economical value and execution
  • How can you drive the combination of AI, simulations, big data and digital process development to enhance cyber-physical manufacturing systems across industries?
16:05 – 16:10
CHAIRPERSON’S CLOSE

Participant Package

Package Details

  • Access to all the conference sessions, keynotes and panel debates
  • Your VIP pass will give you access to all the coffee breaks, refreshments, lunches
  • Pre-arranged F2F meetings with other participants
  • Participation in the executive huddles and interactive workshops
  • Access to the drinks reception on the evening of day 1
  • Access to the presentations after the event (subject to confirmation from speakers)

*Note: Vendors/consultants/solutions/service providers are not permitted to register as a participant attendee. Any such registration/s will be voided.

If you wish to join us please contact faisal.ansari@gb-research.com