9th - 10th June 2022

Agenda

DAY 1 – 9th June 2022
08:00 – 08:40  
REGISTRATION
08.55 – 09.00
CHAIRPERSON’S OPENING REMARKS
09.00 – 09.30
The Impacts of Covid-19 — What’s Changed For Maintenance And That’s Stayed the Same
  • Achieving stronger planning and scheduling programme for better plant agility
  • How disruptions provided many maintenance teams with the opportunity to change their practices?
  • Create better digital platforms for data collection & analysis
09.30 – 10.00
Response and Lessons Learnt That Can Help Us Reimagine Manufacturing Operations
  • Increasing remote work: remote condition monitoring, automation, iot & sensors to allow monitoring from a safe distance and productivity even when not on the production floor
  • Sensing and collecting data directly from assets, alerting management on anomalies and running statistical analysis of data to take actionable insights
  • Bringing certainty to maintenance costs with planned maintenance and service contracts make more sense now than ever before
10.00 – 10.30
Smart Maintenance
  • Significant part of SMART FAB
  • Using new technologies and methods
    Prediction
    Remote maintenance
    AI@Maintenance

Joerg Recklies, Senior Vice President and General Manager,Infineon Technologies

10.35 – 11.25
COFFEE BREAK
11.30 – 12.00
The power of data to unluck 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 Power of The Smart Factory – Connecting Machines To Maintenance and Reliability Professionals
  • Align your initiative to embark or expand your smart factory with the specific needs of your organisation
  • Yield benefits that ultimately result in increased speed to market
  • Select multiple options to leverage digital and physical technologies with an agile smart factory
12.30 – 13.00
COMPRESSED AIR CHANGE TOWARDS A UTILITY
  • Unaddressed headache today
  • Challenge of the industry
  • Disruptive technology following new business model
  • Customer advantage

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
SMART MANUFACTURING
PREDICTIVE MAINTENANCE
14.00 – 14.30
How good must AI be for better planning of production and maintenance?
  • Improving production planning, predicting quality issues, detecting anomalies in the machine behavior, and enabling fast root-cause analysis
  • Optimising models that build on existing policies and to enhance them with what data and AI technologies bring
  • How to adjust the usage-based maintenance strategy as a function of the prediction quality?
  • Does it pay off to invest in further improving prediction quality to reduce costs or increase availability?

Alp Akçay, Associate Professor in the department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology

14.00 – 14.30
Keeping The Production Line Running Efficiently with Advanced Predictive Maintenance
  • Recognising technology’s strategic importance as a critical component of business, not just a source of cost efficiencies
  • What were the barriers to the implementation of automation and robotics?
  • Integrating the old and the new to make the best use of legacy equipment
14:30 – 15:00
Intelligent Predictive Maintenance and Remote Monitoring Framework for Industrial Equipment Based on Mixed Reality
  • Integrate cognition in computational systems with the development of new Artificial Intelligence algorithms
  • How the next-generation digital core technologies can drive productivity up?
  • Advanced data analytics to predict and avoid machine failure
  • Building an augmented reality collaborative product design cloud-based platform in the context of learning factory
14.30 – 15.00
Tapping Visibility Into OT & IoT Devices For Preventative Maintenance
  • How to use asset visibility to support preventative maintenance?
  • Introducing digital tools to improve safety, quality, and productivity on the factory floor
  • Leveraging asset visibility to identify the root-cause of problems
  • Using actionable insight to prevent the predictable
15.00 – 15.30
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?”

Erik Grakist, Senior Technical Leader, Mars Wrigley Netherlands

15.00 – 15.30
Protect the Most Valuables Assets: The Employees
  • Creating a safe environment that fosters high-performing agile teams
  • Implement organisational agility and continuous learning culture challenging the Status Quo
  • Put a communication concept in place that motivates the employees to contribute to the digital success of the business
15.35 – 16.10
COFFEE BREAK
16:15 – 16:45
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.
  • PSPEC 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.

16.45 – 17.15
5 Transformative Industrial Maintenance Trends
  • Increased sensor implementation
  • Scaling data collection enabling more accurate modeling, effective forecasting and analysing data
  • Becoming as efficient, lean and agile as possible, reducing downtime, both scheduled and unplanned
  • Improving MRO Asset Management by mitigating facilities and storeroom inefficiency, digitally tracking parts inventory and availability
  • Enabling proactive real-time maintenance processes from anywhere with remote monitoring and other cutting-edge technologies
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
17.15 – 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
18:00 – 19:00
DRINKS RECEPTION
DAY 2 – 10th June 2022
08.55 – 09.00
CHAIRPERSON’S OPENING REMARKS
09.00 – 09.30
Taking Maintenance Operations to the Next Level Through IoT to Achieve Intelligent Maintenance
  • Enhance the use of data with increasing levels of maturity to improve the maintenance performance
  • Explore real examples of organisational challenges, common mistakes, and best practices
  • Collecting more and more data, and utilising the IoT and data science to advance from preventative to proactive maintenance
  • Make better informed decisions that lead to increased reliability, higher uptime, fewer accidents and failures, and lower costs
09.30 – 10.00
Asset Intelligence 4.0: Sustaining The Benefits Of Digital Technologies And Industry 4.0
  • Investing in APM 4.0 to improve responsiveness to outages with work and Asset Performance Management in context of Industry 4.0
  • Maintenance data collection infrastructure for assets, extract data from sensors and cyber physical systems on the shop floor
  • Applications: Sensor data streams, Static data and Data from the equipment
  • Align the organization with best practices
10.00 – 10.30
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)

Jan klein Bluemink, Senior Field Applications Engineer, Sensata Technologies

10.35 – 11.25
COFFEE BREAK
11.30 – 12.00
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.

12.00 – 12.30
How To Implement Machine Learning for Predictive Maintenance?
  • Implement ML-based solutions for major cost savings, higher predictability, and the increased availability of the systems
  • Preprocess the Data before cleaning it and converting it into a form from which you can extract condition indicators
  • Gathering additional data for predictive models, providing constantly-updated information on whether failure thresholds have been met
12.30 – 13.00
Industry 5.0 – Digital Success Cases
  • Industry 5.0 – What it is about
  • AI/Machine & Human Interaction
  • How to approach comprehensive digitization projects
  • Success Case
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
OPERATIONAL EXCELLENCE
INSOURCING VS. OURSOURCING
14.00 – 14.30
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

Juliana Wolfel, Maintenance Coordinator, Brose

14.00 – 14.30
How Digital Twin Technology is Optimising Manufacturing Operations
  • Use real-time data to create realistic simulations, empowering your business to monitor, test, and plan improvements to your products, equipment, and processes
  • Get a big-picture view of what’s happening in your physical products or manufacturing spaces
  • Identify problems before they become all-consuming
  • Plan for future improvements or opportunities
14.30 – 15.00
Wireless Sensors: Leveraging Predictive Analytics and Machine for Smarter Operations
  • Remotely monitor your equipment, materials, and overall production to ensure your manufacturing processes are optimal
  • Automate manual temperature and vibration monitoring
  • Get notified of power outages or when machinery goes down
  • Use sensors to solve labor shortages and give your technicians time and reactiveness to fix unplanned downtime
14.30 – 15.00
Keys to Effectively Develop Your Reliability Centered Maintenance (RCM) Process
  • What are the functions and expected standards of performance of an asset in its present operating context (functions)?
  • What ways can an asset fail to fulfill its functions (functional failures)?
  • What are the causes of each functional failure (failure modes)?
  • What happens when failure occur and what ways do each failure matter (failure consequences)?
  • What should be done to predict or prevent failure (proactive tasks and task intervals)?
15.00 – 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