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?