16th - 17th November 2023
Agenda
DAY 1 – 16th November
08:00 – 08:40
REGISTRATION
08.55 – 09.00
CHAIRPERSON’S OPENING REMARKS
09.00 – 09.30
Achieving a Sustainable Digitisation of Asset Management
- Janssen Sciences Ireland Lighthouse designated site
- Creating the roadmap and governance structure
- Management Asset Processes
- Workforce Competences
- Digital Asset Management Solutions
- Performance Management
09.30 – 10.00
Is TPM still alive in the age of Industry 4.0?
- Total Productive Maintenance, a quick refresher
- Industry 4.0 in relation to TPM
- What really was the key of TPM?
- TPM, back to the future
10.00 – 10.30
Smart Maintenance
- Significant part of SMART FAB
- Using new technologies and methods
Prediction
Remote maintenance
AI@Maintenance
10.35 – 11.25
COFFEE BREAK

11.30 – 12.00
COMPRESSED AIR CHANGE TOWARDS A UTILITY
- Unaddressed headache today
- Challenge of the industry
- Disruptive technology following new business model
- Customer advantage
12.00 – 12.30
Maintenance 4.0 – The Digital Journey to Planned Maintenance
- Any asset intensive organisation can transition to planned maintenance; reactive maintenance is not an immutable way to operate
- Planned maintenance takes 3 to 8 times less time to complete than reactive maintenance
- Digital transformation must focus first on People and Process to provide the expected return
- IPSPEC execution cycle with a multi-week scheduling process is key to transition to a planned work culture
- Digital Technology must be quick and simple to use and connected to the workers day-to-day needs
- Efficient Scheduling provides by far the quickest and highest ROI opportunity for most asset intensive organisations
12.30 – 13.00
Deploying Maintenance 4.0 using sensors and platforms for operational decision-making processes
- Asset monitorization through Digital strategies and the impact on productivity and maintainability.
- Key elements to consider for building a sustainable and effective ecosystem for Maintenance 4.0
- What is the right path for choosing the sensors mix and how to get the maximum efficiency in the data acquisition?
- Type of data for monitoring and how to manage them for the decision-making process
- Implementing Online sensors, i.e Online lube oil analytics for maintenance in critical assets.
Planned Investment Areas:
- Predictive Maintenance PdM 4.0
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- M2M Communication
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Predictive Analytics
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Sensors
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
- Lubrication Systems
13:05 – 13:55
LUNCH

14:00 – 14:30
DEPLOYING MAINTENANCE 4.0 USING SENSORS AND PLATFORMS FOR OPERATIONAL DECISION-MAKING PROCESSES
- Asset monitorization through Digital strategies and the impact on productivity and maintainability.
- Key elements to consider for building a sustainable and effective ecosystem for Maintenance 4.0
- What is the right path for choosing the sensors mix and how to get the maximum efficiency in the data acquisition?
- Type of data for monitoring and how to manage them for the decision-making process
- Implementing Online sensors, i.e Online lube oil analytics for maintenance in critical assets
14:30 – 15:00
Insights from implementing Industrial IoT in the area of pressure equipment inspection
- Combining compliance and reliability – the and-and perspective leads to co-operation
- Upgrade from run-to-failure to condition-based to predictive – combine sources to increase the level of detail
- Learnings from the deployment of IIoT sensors – all permanent installations are temporary
- Pressure equipment subject to corrosion-erosion – a conventional sensor, with a new level of insight
- Workflow integration as a crucial element of new technology – how many dashboards do you need?
15:00 – 15:30
Monitoring of bolted joints – wireless, self-powered and retrofittable
- Condition monitoring and predictive maintenance with a smart sensor for screw connections
- Technical details of the system developed by a joint initiative of four Fraunhofer Institutes
- Unique selling proposition – what is so special about this innovation
- Next steps together – how to join the journey
15:35 – 16:25
COFFEE BREAK

16:30 – 17:00
Asset Monitoring Systems: Real Life Deployments
- IOT solutions are scalable and affordable across the entire plant, not just for critical assets
- Sensors are used to accurately monitor the current condition of machines, in order to avoid production shutdowns
- On-premises or cloud analytics solutions, in order to predict upcoming machine failure by using automated real-time analytics (i.e. predicting remaining useful life or overall machine health)
Planned Investment Areas:
- Predictive Maintenance PdM 4.0
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- M2M Communication
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Predictive Analytics
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Sensors
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
- Lubrication Systems
17:05 – 17:45
PANEL DEBATE: 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?
- Develop stronger partnerships with maintenance service providers
- Use existing digital asset maintenance platforms more effectively
17:45 – 18:45
DRINKS RECEPTION

DAY 2 – 17th November
08.55 – 09.00
CHAIRPERSON’S OPENING REMARKS
09.00 – 09.30
Using Maintenance Innovation Processes to rail against Micromanagement
- Problems of Micromanagement in Maintenance Organizations
- Facing the hard facts
- Why KPI’s and Risk Assessment are not enough
- Strategic usage of Innovation Processes to reduce Micromanagement
09.30 – 10.00
OUR ASSOCIATES: THE MOST CRITICAL SUCCESS FACTOR IN THE DIGITAL JOURNEY
- Potential benefits of a comprehensive approach to maintenance, safety & OPEX
- “What’s in it for me as an associate?”
- The role of influencer
- Building the capabilities
10.00 – 10.30
The 5 Pillars of Connected Reliability
- Install
- Acquire
- Enrich
- Act
- Connected Knowledge
10.35 – 11.25
COFFEE BREAK

11.30 – 12.00
The power of data to unlock your future factory potential
-
- Challenges of today, needs of tomorrow
- Cases of how Global organizations utilize Blackbird and see outstanding results.
- Recommendations and key take away
– Do you use data to make continuous improvements on your production lines?
– What is the information that could significantly improve your work process?
– Where are you on the Digital Smart Factory journey?
12.00 – 12.30
The 8 Myths in MRO
De-mystify the spend pattern and open the box of pandora for the main stakeholders in MRO:
- Purchasing / Procurement
- Plant Manager
- Maintenance
- IT
- Planner
12:30 – 13:00
TRAINING CONCEPT FOR SYSTEMATIC EQUIPMENT OPTIMISATION
- Technology/digitisation is not everything – don’t forget the staff!
- Systematic use of data for equipment optimisation
- Importance of data quality and understanding the message of the data
Planned Investment Areas:
- Predictive Maintenance PdM 4.0
- Augmented & Virtual Reality (AR & VR)
- Artificial Intelligence
- Cybersecurity
- MES / Shop-floor Digitization
- Workforce Training and Development
- M2M Communication
- Unified Communications / Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Lifecycle Management
- Energy Efficiency
- Machine & Deep Learning
- Wearable Digital Technologies
- Predictive Analytics
- Asset Performance Management (APM 4.0)
- Computerized Maintenance Management System (CMMS)
- Reliability Engineering
- Asset Optimization
- Sensors
- Data Analytics
- Condition Monitoring
- Fault detection, isolation, and recovery (FDIR)
- Lubrication Systems
13.05 – 13.55
LUNCH

14:00 – 14:30
Implementing Predictive Maintenance Correctly: Best Practices and Practical Examples
- First steps and Main challenges by practical implementation of PM functionality
- Selection of PM strategy
- Selection and construction of PM relevant features
- Expectations from PM systems
14:30 – 15:00
Maintenance Network in FIS
- Organization
- Roadmap
- Performance and Achievements
- Supporting tools
15.05 – 15.40
Panel Discussion: Global Maintenance Strategies and Investment Plans
- How to harmonize KPIs, Processes & Standards in a globally operating company?
- How to structure budgets and investments plans?
- How to develop sustainable cross-learning programmes?
- What KPIs need to be monitored for measuring success of efforts?