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
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).
Erik Grakist, Technical Manager, Mars Wrigley
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
Bas Snijders, Program Manager Public-Private Partnerships, Philips Drachten
10:00 - 10:30
EMPOWERING THE ‘ENGINEERING DATA SCIENTIST’ AND OVERCOMING THE INDUSTRIAL SKILLS GAP
- What are the pressing needs in the area of human resources? How to attract more full-time proactive maintenance experts?
- Use existing digital asset maintenance platforms more effectively
- Why empowering engineers now with data is so important to drive the next level of efficiencies and business value
- Examples how data powered engineers are enhancing and pioneering new high value data use cases, leveraging synthetic data (simulation/CAE) and HybridAI approaches
- Best practice from the typical journey to empower an engineer with data, including ideas and strategies
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
REAL-TIME MAINTENANCE FOR INDUSTRIAL MACHINES: PUSHING CONDITION BASED MONITORING TO NEW LIMITS WITH ADVANCES IN NEXT GENERATION MANUFACTURING
- The application of condition monitoring tools are being pushed to new frontiers with Advances in Ai and wireless technologies
- The Cloud is enabling a shift towards Smart Condition Monitoring practices
- Real-time management of safety and business-critical assets by integrating new technologies and methodologies such as, vibration data, oil analysis, thermography, visual inspection and wireless condition monitoring devices
- Remote analysis of the health of asset
12:00 - 12:30
CONTRIBUTION OF DIGITALIZATION AND ARTIFICIAL INTELLIGENCE TO THE VALUE PROPOSITION OF MAINTENANCE
- Maintenance as a value driver
- Role of digital tools in maintenance
- Example for process improvement using mobile apps
- Examples for applications of text mining and AI
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
Dr.- Ing. Christian Frenzel, Partner, ConMoto Strategie und Realisierung GmbH
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
Darko Palalic, Strategic Plant Maintenance Senior Manager, Carlsberg Supply Company Danmark A/S
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
Jens Ulrik Gullacksen, Head of Maintenance, MAN Energy Solution
15:00 – 15:30
AMM – Agile Maintenance Manager, WHEN THE PM MEETS PM
- Power skills
- Neuromanagement
- Pragmatics of communication
- Active listening
- Persuasion
- Effective delegation
Mauro Pinna, Maintenance Manager, Alfagomma Group
15:35 - 16:25
COFFEE BREAK
16:30 - 17:00
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
Timo Sihvo, Sales Manager, Nordics, Tamturbo
17:00 - 17:30
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.
Qais Aldababneh, Regional Sales Manager, Nanoprecise Sci Corp
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)
17:30 – 18:00
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
Giovanni Polosa, Global Manufacturing Director, Bonfiglioli
18:05 – 19:00
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
Thomas Nielsen, Head of Maintenance, Nordic Sugar A/S
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
- Adoption of Machine Learning algorithms in the Pharma
Jose Antoranz, Digital Manufacturing Manager, Johnson & Johnson
Dr. Gerolamo Carboni, Scientist – Process Modelling Lead, Johnson & Johnson
10:00 - 10:30
How data analytics become a lever for production, maintenance, energy and CSR efficiency.
- Where and how to collect data
- Extracting more value from data
- Digital transformation of Efficiency, Maintenance and Energy management
- Measuring the impact on CSR performance
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Seamless Operations: Empowering Efficiency with Mixed Reality
- Exploring Mixed Reality’s Evolution: Delve into the evolution of mixed reality, tracing its historical journey
- Unlocking Business Value with Mixed Reality (MR): Discover the tangible benefits of integrating mixed reality into your operations and how it can elevate your company’s performance
- Success Stories in Action: Explore real-world client case studies showcasing the seamless integration and return on investment (ROI) achieved through our mixed reality software
- Experience RemoteSpark™ Live: Engage in a dynamic, hands-on demonstration of our cutting-edge mixed reality software, RemoteSpark™, through an interactive live session
12:00 – 12:30
IMPLEMENTING MACHINE LEARNING AND AI TO FIND NEW INSIGHTS IN DATA, DELIVERING A BREAKTHROUGH BY ENHANCING GREEN MOBILITY
- Big data management, what are the challenges in extracting clean machine generated RCM data to pick up patterns and trends that might indicate an impending failure
- Increasing the repeatability and accuracy of algorithms to accurately forecast defects in a particular code with so many categories of codes to analyse from fleet components
- Building trust in the forecast to get the people using the tool, trusting the model
- Implementing machine learning to focus on issues that can impact maintainability, analysing congestion and weather data to understand impact on failures
12:30 – 13:00
HOW TO INTEGRATE THE MEGA TRENDS IN YOUR MAINTENANCE & OBSOLESCENCE MANAGEMENT
- The overall contribution of Maintenance within the digital maturity transition
- Critical assets obsolescence management integrating cybersecurity and energy efficiency
- The concept of energy centred Maintenance: a green maintenance system
- Potential of predictive technologies and the scale of smart maintenance practices
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 schedule using prognostics
- Design of maintenance policy using digital models and AI
- Remaining challenges for data-driven predictive maintenance
Dr. Juseong Lee, Assistant Professor, Eindhoven University of Technology
14:30 - 15:00
Journey towards operational excellence
- Technology should support all aspects of the strategy
- Cultural focus to support strategy
- Recognition supports the drive to move forward as a team
Graeme Phibbs, Operations and Maintenance Excellence Advisor, Tennet