14th - 15th November 2024

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

  • 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

15:00 – 15:05

CHAIRPERSON’S CLOSE