18th -19th June 2026
Agenda
AI, Cybersecurity, Industrial IoT, Data, Connected Worker,
Digital Supply Chain
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Handbook To Digital Manufacturing Transformation
- Pillars of Digital Manufacturing – Infrastructure, Data and Applications
- Secure industrial communications and connectivity
- Invest in fit for purpose technologies
- Prepare for the future by embedding advanced and emerging technologies
Sohard Aggrawal, Head of Digital Manufacturing, Reckitt
09:30 - 10:00
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.
- Synchronized Production & Demand Orchestration: using real-time data feeds to align shop-floor schedules with upstream raw material availability and downstream demand shifts.
- Strengthening supply chain resilience to mitigate risks and ensure consistent product availability.
- Maintaining high-quality standards while scaling operations effectively.
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 Autonomous MRO Digital Thread: AI-Driven Transparency & Resilience
- End-to-End Digital Visibility: Moving beyond basic sourcing to a connected digital ecosystem that provides real-time transparency into tier-n supplier networks for MRO parts.
- Dynamic Inventory Orchestration: Utilizing AI-driven demand sensing to automate inventory balancing, eliminating bullwhip effects in spare parts stock.
- Prescriptive Digital Maintenance: Integrating Digital Twins with predictive AI to synchronize MRO procurement cycles with asset health data automatically.
- Value Chain Optimization: Transitioning from cost-cutting to value-based digital operations, leveraging AI to unlock capital tied up in obsolete MRO inventory.
- The Self-Healing Supply Chain: Building a resilient digital infrastructure capable of autonomous sourcing adjustments during global supply disruptions
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
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
13:05 - 13:55
LUNCH
14:00 - 14:30
How to start & strengthen the implementation of your operational (digital) excellence program!
(The 7 actions P&G expects her leaders to do!)
- Research shows that some 70% of (digital) transformations fail as the organizational- and people foundations are not ready to accept/implement the (digital) transformation. However, most transformation projects at P&G do succeed, which rases just 1 question: ‘What does P&G do differently?’
- With IWS, Procter & Gamble/’s OPEX program, P&G builds leadership- and operator capability to drive continuous loss elimination, capability building, and engagement, all factors that are fundamental to transform an organization.
- The presentation shows a practical framework what leaders are expected to do to build the needed capability.
- The last practical action is how to decide for digital systems and become a smart factory.
Salvatore Impellizzeri, Global Director Manufacturing Innovation and Capability Work, Procter & Gamble
14:30 – 15:00
Industrial Transformation at Scale: Practical Technologies Powering the Factory of Today
- Transforming maintenance history and MES data into instant, AI-driven support for frontline teams
- Unlocking the power of proven solutions—making hidden know-how instantly accessible and actionable across shifts
- Building a cloud-based backbone for scaling troubleshooting intelligence seamlessly across global operations
- Standardizing tools and data sources to create a unified layer of operational intelligence for every plant
- Bringing AI straight to the shop floor—turning complexity into clarity and speeding up every decision
Jan Kolarcik, Head of Industrial Engineering & I4.0, Aumovio SE
15:00 – 15:30
Successfully Producing in Turbulent Times
- Matrix Production in Flow -> Flexibility and Adaptability enable quick Responsiveness and Efficient Scaling
- Highly Innovative and Resilient Supply Chain Strategies
- People at the Center -> It is through people that our digital factory becomes intelligent
Michael Scholz, Head of Factory Engineering, Siemens AG
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Building Agentic AI for Supply Chains
- From freight marketplace to AI-native logistics platform.
- Command AI: unifying ERP, TMS, and WMS for real-time orchestration.
- Athena: autonomous agents planning, assigning, and optimising in real time.
- Orchestration vs. Automation: transitioning from rule-based “if-then” logic to perceptive, goal-oriented reasoning that adapts to perpetual volatility without manual triggers.
- Case study: Apollo Tyres — 12.5% cost reduction, +24 pts OTIF.
- The future: measurable efficiency, explainable AI, and autonomous execution
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
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
17:30 - 18:00
Holcim’s Plants of Tomorrow Journey
- Holcim’s intro and strategy
- Plants of tomorrow program
- Examples
- Challenges and success factors
Marjan Milosevic, Head of Smart Operations, Holcim
18:00 - 19:00
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Opening the Door to Supply Chain Transformation - The ASSA ABLOY Way
- Continuous Supply Chain Transformation
- Integrated Planning and Outbound Connected
- The journey to improved Customer centricity
- Digitization challenges
Danny van der Ster, VP Supply Chain, Assa Abloy
09:30 – 10:00
New Lean to Double Productivity: End to End Operations for High Variety Manufacturing. An applied research perspective
- Why classic Lean reaches its limits in high variant, volatile manufacturing environments
- What the New Lean study reveals about doubling productivity – and what it does not
- End to End Operations as the missing link between strategy, shopfloor, and IT
- How core components, flexible factories, and AI must be designed together
- Typical pitfalls of digital and AI initiatives in variant manufacturing – and how to avoid them
Roman Ungern-Sternberg, Head of BU Operations, Fraunhofer Institute for Manufacturing Engineering and Automation (IPA)
10:00 - 10:30
AI That Works: Empowering People, Accelerating Production, Delivering Value
- 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
- Digital Technology
- Workflow and Process Automation
- Automatic & Autonomous Transformation Solutions
- Supply Chain Digitalization
- Solutions for industrial PC’s and Monitors
- Manufacturing Supply Chain Strategy & Implementation
- Supply Chain Software
- Industrial Automation & Control solutions
- Data Governance
- Connected Worker
- Artificial Intelligence
- Cloud Manufacturing
- Digital Twin
- Workforce Training and Development
- Machine & Deep Learning
- Industry 5.0
- Lean Digital Manufacturing
- Connected Manufacturing
- Big Data & Manufacturing Information
- Smart Manufacturing / Digitalisation
- Cybersecurity
- Manufacturing Automation
- Predictive Maintenance PdM 4.0
- Cloud, Edge & IoT Data Management
- AI Enabled Supply Chain
- Asset Optimization & Inspection
- M2M Communication
- Wearable Digital Technology
- Asset Performance Management (APM 4.0)
- Sensors
13:05 - 13:55
LUNCH
14:00 - 14:30
MACHINE LEARNING FOR REAL TIME RELEASE IN PHARMACEUTICAL MANUFACTURING
- Model-based process characterisation is key for implementing real time release testing within pharmaceutical manufacturing
- This session illustrates the integration of data-driven modelling and machine learning to craft resilient release strategies capable of
accurately predicting the products’ quality attributes - These strategies result in optimised lead times in the supply chain and foster a comprehensive and timely understanding of the process
performance, thereby generating substantial value
Suresh Daniels, Group Data and Architecture Integration Director, Coats Plc
14:30 - 15:00
Driving Adoption, Standardization & Maturity in Connected Worker Program in Global Scale
- Standardization as the foundation: processes, taxonomy, content governance
- Ensuring user adoption through co‑design, training, and change management
- Balancing self‑service flexibility with guardrails to avoid deviation
- Using maturity models to guide phased deployment across sites
- Demonstrating tangible value: productivity, reduced errors, real‑time visibility
Ozgur Mutlu, Global Digital Manufacturing Manager, Danone
