6th - 7th October 2026, Düsseldorf

Agenda

Day 1

08:00 - 08:50

REGISTRATION

08:55 – 09:00

CHAIRPERSON’S OPENING REMARKS

09:00 - 09:30

Enhancing Plant Performance through an Interactive Connected Worker Experience

  • How cutting-edge solutions can transform operations
  • Discovering practical applications of the platform in manufacturing settings
  • Streamlining processes, enhancing productivity, and driving operational excellence
  • Deploying digital solutions and fostering a culture of innovation
  • Enhancing overall plant performance with connected worker platforms
  • Implementing strategies for ongoing innovation and improvement

Metin Begecarslan, Chief Excellence Officer, Bodycote

09:30 - 10:00

Bavarian Speed at Scale: Ramping Up BMW’s Irlbach Straßkirchen Plant with iFactory, Virtual Commissioning and People Transformation

  • This keynote shares how BMW is building up and ramping up the Irlbach Straßkirchen site by applying iFactory principles across planning, execution and operations.
  • A strong focus is placed on digital methods and virtual commissioning to validate processes early, reduce risks and support a smoother transition into production.
  • Beyond technology, the talk highlights what it takes to drive transformation with people: new ways of working, cross functional collaboration and change leadership to make digital approaches effective in day to day delivery.

Dr.-Ing. Dieter Geus, Head of Plant and Control Engineering, Process Methodology, and Logistics, BMW Group

10:00 - 10:30

Driving Digital Transformation with Low-Code Platforms: Enhancing Agility and Efficiency

  • Leveraging low-code platforms to streamline manufacturing processes and improve operational agility
  • Accelerating digital transformation through customized, scalable solutions without complex coding
  • Enabling cross-functional teams to collaborate and build process automation workflows
  • Integrating legacy systems with modern tools to enhance efficiency and reduce downtime

10:35 - 11:25

COFFEE BREAK

11:30 - 12:00

Enabling the Front-Line with Data and AI

  • Why 47% of leading manufacturers are using AI to empower front-line workers
  • How turnkey AI solutions help junior operators perform like seasoned veterans, driving operational excellence
  • Gaining a competitive edge by lowering costs, improving Overall Equipment Effectiveness (OEE), and addressing productivity gaps caused by workforce turnover
  • Showing how manufacturing benefits from AI and advanced analytics
  • Understanding common pitfalls that cause AI projects to fail and strategies to ensure successful implementation

12:00 - 12:30

The Expansion of AI and Robotics in Modern Manufacturing

  • Exploring the integration of robotics, AI, and automation to enhance efficiency and quality across all business areas
  • Strategies for upskilling the workforce to effectively utilize advanced technologies
  • Addressing challenges in implementing smart manufacturing solutions within traditional operations
  • The role of data analytics in optimizing robotic and automated systems for continuous improvement
  • Highlighting successful transformations through advanced robotics and automations

12:30 - 13:00

Optimizing Manufacturing Processes: Strategies to Improve Process Flow, Reduce Cycle Time, and Boost Efficiency

  • Identifying bottlenecks, optimizing workflows, and streamlining the production process for enhanced efficiency
  • Leveraging digital tools, IoT, and data analytics to monitor and optimize manufacturing operations in real-time, driving faster decision-making
  • Improving Equipment Utilization: Strategies to enhance the utilization and uptime of critical manufacturing equipment, ensuring that production capacity is maximized
  • Workforce Optimization: Aligning workforce skills and capacity with production demands, enhancing team collaboration, and reducing downtime through effective training and deployment
  • Continuous Process Improvement: Establishing a culture of ongoing process evaluation and refinement to ensure long-term improvements in production efficiency

PLANNED INVESTMENT AREAS

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Sustainability & ESG Software
  • 3D Printing for Digital Manufacturing
  • Project & Resource Management
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Industry 5.0 Concepts
  • Net Zero
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Cloud Computing & Sensors
  • Asset Management
  • Data Analytics / Big Data / Data Management

13:00 - 13:55

LUNCH

14:00 - 14:30

The future of Lean in times of AI

  • AI is a powerful enabler, but not automatically a value creator
  • Lean remains essential to define problems, stabilize processes, and avoid scaling waste
  • AI without Lean risks accelerating inefficiencies and creating new forms of digital waste
  • Leadership and people development are critical to ensure responsible and effective AI use
  • The future lies in combining Lean principles with AI capabilities to create sustainable value

14:30 - 15:00

Using Data-Driven Decision-Making to Enhance Production Processes

  • Optimizing operations for competitive advantage in manufacturing?
  • Streamlining manufacturing operations to increase efficiency and minimize costs
  • Applying lean manufacturing principles for continuous improvement
  • Strengthening supply chain resilience to mitigate risks and ensure consistent product availability
  • Maintaining high-quality standards while scaling operations effectively

15:00 - 15:30

Big Data and Digital Twins for effective decision making

  • Converging Big Data and Digital Twins: from static models to real-time intelligence
  • Building scalable data pipelines to power high-fidelity digital twins
  • Leveraging AI and analytics for predictive insights and autonomous decision-making
  • From simulation to optimization: driving operational efficiency and business value
  • Governance, interoperability, and trust: ensuring reliable and secure twin ecosystems

Ivan Branco, Head of Information Management, AI and Analytics, Volvo Group – TTI SO&T Digital Operations

15:35 - 16:25

COFFEE BREAK

16:30 - 17:00

Optimizing Operations with ERP Solutions

  • The role of industry-specific ERP solutions in optimizing production and reducing lead times
  • How automation improves quality and streamlines workflows in manufacturing operations
  • Achieving real-time visibility for enhanced decision-making and inventory management
  • Integrating advanced technologies to modernize manufacturing processes

17:00 - 17:30

Leveraging AI for Advanced Data Protection and Cybersecurity

  • Implementing AI for growth in key industries like healthcare and finance
  • Optimizing complex infrastructure to support scalable AI solutions
  • Leading global AI teams to deliver impactful, secure AI and cloud solutions
  • Strategic partnerships to expand AI adoption across the enterprise
  • Balancing AI investment with ROI through effective AI governance

PLANNED INVESTMENT AREAS

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Sustainability & ESG Software
  • 3D Printing for Digital Manufacturing
  • Project & Resource Management
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Industry 5.0 Concepts
  • Net Zero
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Cloud Computing & Sensors
  • Asset Management
  • Data Analytics / Big Data / Data Management

17:30 - 18:00

The best of both worlds - traditional AND Gen AI for engineering & production

  • What are the fundamental differences between Traditional and Generative AI?
  • Is Traditional AI now obsolete?
  • What use cases to approach with Traditional AI? Which ones to tackle with Generative AI?
  • What initial foundation model based PoCs were done and did they show actual value?

Yves Gorat Stommel, Head of Electrical and Process Controls, Evonik Operations GmbH

18:00 - 19:00

DRINKS RECEPTION

Day 2

08:55 – 09:00

CHAIRPERSON’S OPENING REMARKS

09:00 - 09:30

Lighthouse by Design: What the Global Lighthouse Network Taught Us About Building from Scratch

  • How the CRISP framework (Connected, Resilient, Intelligent, Sustainable, People-Centric) guides the design of Siemens’ next-generation Electronics Works Singapore factory
  • Translating Global Lighthouse Network principles into a live greenfield project — from concept to commissioning
  • Digital twins, modular assembly and AI-driven cross-factory knowledge federation as enablers of future-ready manufacturing
  • Building resilience through location strategy, flexible shopfloor architecture and cloud-native IT/OT convergence
  • Embedding sustainability from day one: LEED Platinum ambition, net-zero design and resource efficiency
  • People at the centre: DEI-certified building design, microlearning on the shopfloor and empowering a digitally native workforce

Maximilian Foehse, Global Head of Manufacturing Operations Management, Siemens AG

09:30 - 10:00

Smart Manufacturing at Scale: How Roche is taking digital twin simulations from pilot to global reality

  • How Roche uses AI as a key tool for simulating and planning new production facilities
  • Which use cases deliver the greatest business value
  • Which practical challenges need to be managed
  • What Roche’s smart manufacturing strategy looks like

Jan Wokittel, Director Smart Manufacturing, Hoffmann-La Roche

10:00 - 10:30

Leveraging Artificial Intelligence in Enterprise Asset Management for Enhanced Productivity

  • Exploring the integration of AI-driven mobile apps to automate and enrich data for plant maintenance and frontline work
  • Discovering how AI solutions can significantly boost EAM productivity and information accuracy
  • Examining the impact of excessive work order times on productivity and how AI-driven mobile solutions can drastically reduce time spent on capturing work order information
  • Understanding the importance of mobile asset management in turning frontline workers into knowledge workers

10:35 - 11:25

COFFEE BREAK

11:30 – 12:00

Accelerating AI Commercialization: From End-to-End Development to Scalable Impact

  • Delving into AI and emerging tech from E2E development of product lifecycle
  • Breaking down the business need of technical AI and how to deploy use cases
  • Best practices and strategies to extract value of AI use cases for commercialization
  • How to rapid scale AI and accelerate time to market

12:00 – 12:30

Accelerating Digital Transformation: Rapid Adoption in Dynamic Environments

  • Identifying key factors for achieving rapid transformation across global operations
  • Overcoming barriers to quick adoption of new digital technologies
  • Modernizing legacy systems without disrupting business processes
  • Leveraging real-time data and analytics for smarter, faster decision-making
  • Implementing agile frameworks to support digital transformation at scale

12:30 – 13:00

Data-Driven Decision-Making Through Predictive and Prescriptive Analytics

  • Transforming raw data into actionable, real-time insights with AI analytics
  • Integrating real-time analytics across enterprise systems for operational efficiency
  • Leveraging machine learning models to predict trends and optimize performance
  • Ensuring data governance and quality to maximize AI-driven decision-making
  • Scaling AI-powered analytics in data-rich, complex environments

PLANNED INVESTMENT AREAS

  • Continuous Improvement / OPEX
  • Industry 4.0
  • Lean Methodologies
  • Sustainability & ESG Software
  • 3D Printing for Digital Manufacturing
  • Project & Resource Management
  • Additive Manufacturing / Factory-as-a-Service
  • Connected Factory
  • Industry 5.0 Concepts
  • Net Zero
  • Cybersecurity
  • Robotic Automation
  • Digital/Software Adoption
  • MES / Shop-floor Digitization
  • Machine Learning
  • Digital Twin
  • M2M Communication
  • Remote Working
  • Plant / Workforce Safety
  • Wireless Connectivity
  • Cloud, Edge & IoT Data Management
  • Asset Performance Management (APM 4.0)
  • Artificial Intelligence
  • Digital Technologies
  • Predictive Analytics / Condition Monitoring
  • Green Manufacturing Practices & Initiatives
  • Cloud Computing & Sensors
  • Asset Management
  • Data Analytics / Big Data / Data Management

13:05 - 13:55

LUNCH

14:00 – 14:30

Transforming Continuous Improvement: The Role of AI and Connected Worker Technology

  • Predicting bottlenecks and identifying patterns with AI and Connected Worker Technology for proactive solutions
  • Showcasing case studies on boosting productivity, quality, and retention through these technologies
  • Integrating AI and CW technology into CI frameworks to foster continuous learning and agility

14:30 - 15:00

Maximizing Plant Performance: Driving Efficiency, Innovation, and Sustainability

  • Implementing advanced workflows to optimize plant performance and streamline operations
  • Scaling automation to boost efficiency while maintaining operational flexibility
  • Using real-time data to monitor and drive continuous facility performance improvements
  • Designing facilities for high efficiency and sustainability to meet environmental goals
  • Leveraging digital tools for predictive maintenance and reducing downtime

15:00 – 15:05

CHAIRPERSON’S CLOSE