Agenda

• Engineering Asset Management and maintennace
• Industrial AI
• Digitalisation
• Emerging technologies for maintenance automation

Ramin Karim, Chair Professor, Luleå University of Technology

• Battling the status quo of “That’s how we’ve always done it” maintenance
• Balance of plant and how data is underutilised
• The power of eradicating data silos
• Bringing your analytics even closer to your EAM/CMMS system
• Turning notifications into action

Adam Eccles, Senior Solutions Engineer, Prometheus Group

• How Henkel is making maintenance future-proof using predictive maintenance through IIoT solutions with LOCTITE Pulse
• Overview and insights into LOCTITE Pulse solutions for static and rotating equipment
• Sustainable collaboration between business and operations, from small pilot projects to company-wide global scaling with over 700 T€ in annual savings
• Selected challenges and success stories at various Henkel and customer sites regarding the monitoring of rotating equipment, such as pumps, motors, mixers, etc., and static equipment

Tim Rheinhold, Senior Manager MRO, Henkel

• Sxils and MaxGrip, backed by Eindhoven University of Technology, developed an AI-assisted methodology for maintenance performance assessments in industrial environments.
• The approach combines academic insight, GenAI-powered hypothesis testing, and expert validation to assess maintenance performance in a scalable and evidence-based way.
• The methodology was tested and validated through pilot projects with four manufacturing plants, grounding the approach in real operational environments.
• By combining operational data, asset management information, and expert input, the assessment creates a richer view of current performance and improvement potential.
• Current practices are compared with maintenance best practices to identify gaps, improvement opportunities, and where organizations should start.
• The project positions GenAI as a way to amplify consultant expertise and make assessments more repeatable, consistent, and accessible — not as a replacement for expert judgement.

Ronald de Kok, VP Business Development & Product Management, MaxGrip
Annemieke Moerkerken, Owner, Sxils and Hybrid Teacher, TU/e

• Rapid asset expansion is reshaping how maintenance and operational readiness are approached across offshore infrastructure.
• Data plays a growing role in decision making, yet its limitations and inconsistencies remain a constant consideration.
• Traditional ways of organizing and supporting maintenance are being challenged by increased scale and complexity.
• Procurement is increasingly intertwined with technical and operational outcomes, beyond its conventional boundaries.

Joost de Vreugd, Lead Operations and Maintenance Engineering, TenneT TSO GmbH

• Global AI Scalability: Overcoming extreme operational variance to transition predictive maintenance from localized pilots to a worldwide network.
• Hybrid Edge-to-Cloud Architecture: Deploying robust topologies that guarantee real-time inferencing and system reliability across diverse plant environments.
• Heterogeneous Asset Modeling: Adapting machine learning strategies to accurately monitor diverse heavy machinery without sacrificing precision.
• Automated, Closed-Loop Pipelines: Transforming raw telemetry through automated signal processing and continuously refining models using real-world maintenance feedback.

Jorge Gamarra, Head Maintenance Technology, Holcim Technology Ltd.

• Scaling AI across million work orders and a few hundred thousand spare parts
• Turning natural language into specifications, Fabric models and Power BI reports
• Delivering evidence-based maintenance answers through conversational AI
• Using specialized agents to detect data, cost and reliability exceptions daily
• Closing the loop from operational problem to insight, action and verified impact

Olivier Ruttiens, Global Asset Reliability Director, Barry Callebaut

• Why turnaround excellence process
• Keys of success
• Syensqo process
• AI news
• Examples

Thierry Lamouille, Senior Turnaround Excellence Manager, Syensqo

• Not all vibration monitoring system are the same. How can a high performance system with HD Technology provide better insights and the prewarning time needed for critical machines.
• With customer cases we will present not only how our technology works but also how it can affect the maintenance planning and the value for the end-user.

Johan Arvidsson, Key Account Manager, SPM Instrument

• Aging solar plants are increasingly constrained by obsolete inverter technologies, creating availability, compliance, and spare part risks that traditional O&M can no longer mitigate.
• Revamping and repowering have become operational necessities, not optimization exercises, to maintain performance, grid compliance, and contractual obligations.
• This session explores when and why intervention is required, using clear technical and economic triggers rather than theoretical end of life assumptions.
• Key engineering considerations in revamping projects: inverter replacement strategies, system redesign impacts, protection concepts, and commissioning risks.
• Practical insights from real plant experience, highlighting decision making under OEM exits, supply constraints, and long-term asset value protection.

Anas Noorani, Project manager Operations and Maintenance, Pfalzwerke

• GenAI Copilots and the Knowledge Gap – “How can we effectively integrate GenAI copilots into our technicians’ daily workflows to bridge the skills gap, without risking over-reliance on AI-generated advice during critical failures?”
• Prescriptive Maintenance vs. Predictive “Sensor Fatigue” – Discussion Question: “Are we using our data to simply point out problems, or are our systems sophisticated enough to prescribe the exact cure? What are the barriers to letting an AI automate our work order triggers?”
• Cybersecurity at the IT/OT Convergence – With increasingly connected condition-monitoring tools, where does the boundary lie between the IT security team and the OT reliability team? Who is ultimately accountable if a security breach halts production?
• Directing Capital: The 2027 Electronic Obsolescence Crisis – How are we balancing the pressure to keep legacy machines running with the reality of component obsolescence? What criteria should we use to justify a full system upgrade versus relying on third-party repair partners?
• Shift to “Green Reliability” (Sustainable Maintenance) – How can we better align our reliability metrics (like MTBF) with corporate sustainability and energy-reduction targets? Can ‘Green Maintenance’ be used to secure larger budgets from corporate leadership?
• Maintenance-as-a-Service (MaaS) and OEM Partnerships – What are the strategic advantages and hidden risks of shifting equipment maintenance accountability back to the OEMs? How does a MaaS model impact the long-term role of our in-house maintenance technicians?