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
    • – 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?

    • Cases of how Global organizations utilize Blackbird and see outstanding results.
    • Recommendations and key take away
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?
15.40 – 15.45
CHAIRPERSON’S CLOSE