30th - 31st October 2025
Agenda
DAY 1
08:00 – 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Asset Health Check: Measure the Health of your Assets to define your 5 year investment plan
A systematic, structured approach which involves Technical, Quality & Food Safety, Human Safety, Legal and operational experts in the evaluation of assets. Defining approx. 25%-50% of our investment agenda.
Back to the basics: Maintain where possible, replace what’s required
Back to the basics: Maintain where possible, replace what’s required
- From a local initiative to a global signature process within Mars Inc.
- The Critical Succes Factor: Associate knowledge and experience.
- Historical data is crucial, but sometimes only supportive
- How to prioritize within a site, but also within the European region (10 sites).
09:30 - 10:00
Predictive Maintenance: Leveraging data for our cold forming lines
- Introducing PHILIPS Drachten and the industrial environment
- Our journey to predictive maintenance
- The solution and methodologies applied
- The results and lessons learned
10:00 - 10:30
Modern Air Compressor Technology Enhancing Manufacturing Reliability, Cost Reduction and Sustainability
- Role of air compressors in modern manufacturing
- Case studies: From Sustainability KPIs to actual results
- How high-speed technology and active magnetic bearings shifts manufacturing to more efficient and sustainable direction?
- Suppliers as part of reliability network in compressed air production
- Utilization of compressor system data for improved production
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
Curing the “Everything is Urgent” Production Syndrome in Today’s Industry 4.0 Era!
Teamwork between maintenance and production can be achieved by implementing the followings:
- Fundamental causes of the syndrome
- Potential remedies
- Setting the vision at the Plant manager level
- Restoring the confidence between maintenance and production with a multi-week schedule outlook.
- Making an agreement between maintenance and production on when the work must be done to prevent equipment failure that is clearly communicated to everybody involved.
- Identifying Potential failure intervals and risks of failure based on AI predictive analytics, or experience.
- Ensuring the work required to prevent equipment failure is always done on time.
- Measuring compliance of the maintenance and production time execution agreements, in order to maximize trust and teamwork between maintenance and production
12:00 - 12:30
HOW TO LEVERAGE DIGITALIZATION AND ARTIFICIAL INTELLIGENCE TO SECURE YOUR MAINTENANCE INVESTMENTS
- Connecting Maintenance to the core business drivers
- Leveraging Production process improvements
- How to integrate asset data with production and maintenance
- Role of digital tools and devices in maintenance and production
12:30 - 13:00
Predictive & Preventive Maintenance - Risk minimization through targeted best practice reliability engineering for optimum system availability
- Use of predictive maintenance in the mix of different maintenance strategies
- From concepts to practical applications
- Sensor overkill – how condition monitoring creates P&L impacts
- Prioritizing reliability problems to target the most important ones for your business
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
13:05 - 13:55
LUNCH
14:00 - 14:30
Asset & Maintenance Management
- Using 5S approach in anchoring Asset and Maintenance Management Strategy
- Importance of early equipment management
- Master data for CMMS
- Maintenance of Legacy Equipment/Machinery
14:30 – 15:00
THE LINK BETWEEN WORLD CLASS ASSET MANAGEMENT AND SUSTAINABILITY, INCREASING ASSET LIFE CYCLES TO IMPROVE SUSTAINABILITY USING CURRENT ASSET MANAGEMENT FRAMEWORKS
- Maintenance Strategy
- Maintenance Concepts
- Maintenance Maturity
- Maintenance Policy
- How to embark on the Maintenance Maturity Journey
15:00 – 15:30
AMM – Agile Maintenance Manager, WHEN THE PM MEETS PM
- Power skills
- Neuromanagement
- Pragmatics of communication
- Active listening
- Persuasion
- Effective delegation
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
Integrating Energy Efficiency with Predictive Maintenance Strategies for Sustainable Manufacturing
- Nanoprecise’s AI+physics-driven solutions detect issues early, shifting Maintenance from reactive to proactive and enhancing financial, environmental, and operational benefits.
- Energy-Centered Maintenance goes beyond Reliability-Centered Maintenance by reducing energy waste while optimizing operations making it ideal for less critical equipment.
- Explore our 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.
17:00 - 17:30
TPM 3 year progression at Bonfiglioli
- Bonfiglioli Company
- Experiences in implementing lean with the help of digitalization
- TPM: what is TPM in Bonfiglioli Company
- Our goal and our target
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
17:35 - 18:30
DRINKS RECEPTION
DAY 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Transforming the organisation to shape the new tomorrow, a session to discuss the change management part of implementing condition monitoring and AI technologies.
- Condition monitoring techniques.
- AI pilot project made in Nordic Sugar Nakskov
- Challenges of transforming the organisation
- A take on how to evolve in practice
- Conclusion
- Q&A
09:30 – 10:00
Pharma in the time of Digital Manufacturing - how Process Analytics can turn challenges into opportunities.
- Digitalization as great opportunity in Pharma
- Strategy on digital manufacturing
- Process Analytics as priority on manufacturing in Pharma
- MVA as a process analytics technology to improve reliability
- Early AI application in Pharma Supply Chain instead of Adoption of Machine Learning algorithms in the Pharma
10:00 - 10:30
Harnessing No-Code AI for Enhanced Industrial Reliability
- Simplifying AI adoption: Easy model building for increased operational reliability and sustainability compliance
- Empowering frontline Workers: Involving them in AI integration fosters successful deployment and continuous improvement
- Utilizing AI for predictive maintenance: Predictive analytics help organizations anticipate maintenance needs, enhance product quality, and meet sustainability goals
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Predictive maintenance solutions for electric machines: Enging’s deterministic approach
- Online monitoring of electric machines
- Non Invasive and deterministic approach, exclusively based on electric variables measurements
- No need of historical data or learning periods
- Easily integrated into existing monitoring platforms
12:00 – 12:30
Key Success Factors for an Effective Digital PdM Strategy
- Discover how to revolutionize your maintenance operations using I-care’s “Analyze, Manage, Connect, Collect” methodology
- Collect high-quality data from various sources to ensure accurate insights
- Seamlessly connect systems and IoT devices for comprehensive data integration
- Apply advanced analytics to predict potential failures and gain actionable insights
- Manage with a clear strategy, setting KPIs and continuously improving processes
- Join our presentation to learn how these success factors can minimize downtime and optimize your maintenance strategy for maximum efficiency
12:30 – 13:00
The role of advanced condition monitoring in achieving a balance between operational effectiveness and sustainability
- Advantages of sensors over traditional condition monitoring techniques
- Performance of different sensors in the field and laboratory
- Safe and Sustainable by Design methodology and its relevance for maintenance and operations
- Role of advanced sensors in supporting fluid redesign to meet performance needs whilst reducing impact on users and the environment
PLANNED INVESTMENT AREAS
- Predictive Maintenance & Analytics
- Remote Management
- Non-intrusive Inspection
- Lubrication Systems & Fluid Analysis Solutions
- HMI/SCADA
- Worker Safety
- Sound & Vibration Analysis
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Mechanical Protection
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- Process Digitalization & Automation
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Robotic Inspection & Maintenance
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Mobile/Field Worker Solutions
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
13:05 - 13:55
LUNCH
14:00 – 14:30
Predictive Aircraft Maintenance: Roles and Challenges for AI and Data
- Data- driven prognostics of remaining-useful-life of aircraft systems
- Optimization of maintenance decisions using prognostics
- Remaining challenges and potential solutions for data-driven predictive maintenance
- Industry-University collaboration paths towards predictive maintenance
14:30 - 15:00
We are we still in the dark when it comes to data? Keeping the lights off to keep the lights on.
- What to do when there is no data – we are at the start of life of our Offshore assets
- Sometimes we have too much data and are still in the dark. How we create light at TenneT
- How can we transform our data into usable information using AI
- How we ensure our data collection is repeatable and at lowest risk – introducing “Sparky”, our version of BOLT