Welcome to GBR’s FTWorX

8th – 9th March 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

Sarah Bodo

Sarah Bodo

Digital Operations Center Leader Europe

Gunter Beitinger

Gunter Beitinger

SVP Manufacturing

Doug McKnight

Doug McKnight

EMEAI Manufacturing 4.0 Director

Gernot Schaefer

Gernot Schaefer

Vice President

and many more…

Agenda

DAY 1 – 8th March 2021
08:00 – 08:40  
REGISTRATION
08.45-08.50 
CHAIRPERSON’S OPENING REMARKS
08:55 – 09:30
The predictions for digital technology in 2021 after the COVID-19 pandemic
  • What is predicted to be the most important innovation in 2021 within the Digital Tech (industry 4.0) environment?
  • Real time data analytics in practice – examples of how IoT data, AI and Machine Learning is creating workplace safety and revolutionising working practices ensuring production efficiency and sanitization
  • Industry 4.0 is a continuous process that requires constant optimisation and expansion, with this ever-evolving landscape, how can manufacturers stay ahead of the curve and ensure safety as well as JIT Manufacturing?
  • What can we do now to continue where we left off before the pandemic and continue to experiment with the roll out of Industry 5.0?
09:30 – 10:05
The Cultural Change Needed in Industry
  • 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
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 drifts, optimization through a digital twin
    2. What perspectives and other use cases for Air Liquide and the Industry
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
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
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?
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?
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 2021?
  • 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
How to scale up the implementation of IoT enabled technologies to accelerate Value
  • 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
16:45-17:15
Machine Learning and smarter ways to make Data-Driven decision in Predictive Maintenance
  • Collect more data for more manufacturing process information and more insights about machine health
  • Reduce equipment failures or unexpected downtime based on the operational data available
  • Know the main failures to have a good idea about the data to collect and the sensors to install
  • Adopt practices to automate decisions, take actions in real time, improving repair scheduling, inventory management and inspection
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
18:00 – 19:00
DRINKS RECEPTION
DAY 2 – 9th March 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
Using Data to ensure workplace safety and manufacturing efficiency
  • Data analytics for effective predictive maintenance
  • Integrate labour on your digital manufacturing journey with a solution based on the Poka Yoke principle to achieve your productivity and quality goals Intelligent material
  • Intelligent material conveying: a new approach to increase your ability to respond quickly to the dynamic needs of your market
  • Deliver innovation by many competencies
10:05 – 10:40
COVID-19: What AI concept we at Lamborghini used to aid us to produce surgical masks and medical shields
  • Using smart algorithms and real time data we utilized our site in ‘Sant’Agata Bolognese’ to work with ‘Sant’Orsola-Malpighi Hospital’ in Bologna to create masks and shields
  • 1,000 masks were created by our Upholstery Department, the department that produces the interiors and customizations for Lamborghini cars.
  • Why did we do this?
  • How we used connected data to help us meet the necessary requirements needed?
  • Technology based AI and the human element helped us maintain a safe working environment
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
IT in Manufacturing as Enabler for Connected Industry and Big Data
  • A highly standardized IT infrastructure is key to quick rollout of features and solutions of connected industry
  • How does this IT infrastructure look like currently?
  • How do we want to shape manufacturing IT?
  • How do we handle IT Security?
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
Becoming the Factory of the Future
  • How to prepare now for the IIoT?
  • Start the alignment process now to be better positioned to take full advantage of intelligent technologies
  • Embrace new technologies and change your infrastructure and processes in order to reap the benefits of the IIoT
  • Manage the re-skilling and retraining of the workforce to swiftly adopt these technologies
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 and Pricing

  • 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.

Package Price: £1,495 + VAT

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