Agenda

• Monitoring at Scale and anomaly Detection
• Data Integration and Visualization Challenges
• From Early Warning to Predictive
• Use of the asset performance tool and Root Cause Analysis for Continuous Improvement
• Collaborative Innovation and Knowledge Sharing

Kurt Dhaene, Digital Operations & Maintenance 4.0 – Reliability, Unilin

• Discover how existing machines can become smarter—in just one day.
• In this keynote, Bart Zeeman, CTO Office – Data & Analytics (NXP), and Marcel Mourits, Vice President Digital Manufacturing (CGI), share how Edge AI is transforming predictive maintenance and operational efficiency, enabling next steps toward full autonomy and agentic AI.
• This is not a concept, but a real implementation in NXP factories today—ready to inspire any other industrial environment.
• This innovation brings together best-in-class service, integration, hardware, and software partners in a flexible, scalable, and easy-to-use setup—without the need for heavy upfront investment.
• Join us to explore how Edge AI can make your operations smarter, faster, and more resilient: starting today.

Bart Zeeman, NXP CTO Office – Data & Analytics, NXP
Marcel Mourits, CGI Vice President Digital Manufacturing, CGI

• Continuously building maintenance capabilities to support high performance over the long term
• Including four dimensions, People, Process, Technology and Data to reach sustainable and effective capabilities
• Challenges and opportunities to align 30 factories with different set-ups, locations and sizes
• Building a global model with common standards and systems

Ulrika Garbe, Process Leader Maintenance, Operational Excellence, IKEA Industry AB

Specific issues:

• As maintenance department to be viewed as a value generator and not a cost center through efficient maintenance processes and asset management systems
• Calculating the optimum amount of spareparts
• Change management of the maintenance and production department and how to communicate in different layers of the organization, to secure the optimum spareparts are accepted

Output & Gains:

• Significant savings on the maintenance cost of holding spares per annum or savings from production losses due to having the right spares in hand
• A data driven decision solution, where decisions are taking from available data and not on “gut” feeling

Thomas Nielsen, Head of Maintenance, Nordic Sugar A/S

• Energy-Centered Maintenance goes beyond Reliability-Centered Maintenance by reducing energy waste while optimizing operations making it ideal for less critical equipment.
• Explore case studies, which show how our 6-in-1 IIoT sensor has achieved efficient results in the cement, chemicals, mining, oil and gas, and automotive industries.

Cláudio Almeida , Chief Operating Officer , Enging

• The challenge of spare part stock optimization in a global network of 65 production facilities
• How analytics uncovered spare-part optimization needs more than forecasting
• Using Monte Carlo simulations to model real-world uncertainty
• Supporting daily decisions with a dashboard-driven “pitwall” approach

Koen Bothmer, Senior Data Scientist, FrieslandCampina
Shruthi Sundar, Data Scientist, FrieslandCampina

• Applied Medical Introduction and Background
• Advanced Automation for Design, Utilization & Assembly
• Maintenance of New Build Sterilization Facility in Light of Current Regulations, Application

Johannes de Boer, Director of Maintenance and Automation, Applied Medical

• Embed data ownership and accountability across teams to ensure consistent, high-quality asset and maintenance data
• Break silos between operations, maintenance, and IT to create shared insights and drive cross-functional decision-making
• Promote a mindset of continuous improvement by using data as the foundation for learning and optimization
• Invest in tools and skills that democratize data so frontline teams can access, trust, and act on insights independently

Oscar Yang, Data Governance Lead, Van Oord

• No-Code: Immediate results in 6 weeks. Energy Sector
• Deterministic: Insight to action – Practical use in Food & Beverage Industry
• How to Start: Practical steps to scale

Remi Goget, SVP of Technical Sales and Customer Success, Intelecy

• Flexibility enhances a machine’s ability to handle diverse tasks and changing conditions
• Greater flexibility can introduce complexity, increasing the risk of failures
• Reliability ensures consistent performance and reduces unexpected downtime
• Effective design and operation strategies are needed to balance flexibility and reliability
• Monitoring and control tools help maintain reliability while allowing operational flexibility

Yousef Rahmani, Mechanical Engineer, Process System, Alfa Laval
Torsten Fog Pedersen, Commercial Head, Connected Solutions, Alfa Laval

• Strategize your maintenance
• Laying foundation for data quality
• Starting simply with existing data and standardized solutions
• Continuous learning by enriching insights

Vidya Ranade, Former Digital Director, FrieslandCampina