Asset Management 4.0 & 5.0
AI and Enterprise Asset Management : Artificial Intelligence will transform Enterprise Asset Management (EAM).
Integrating AI into EAM platforms could radically enhance capabilities, resulting in higher employee productivity and further maximizing asset performance, with all relevant data protection in place. By leveraging AI, future EAM toolsets will be more intuitive, accessible and predictive, therefore driving unprecedented efficiency and effectiveness in asset management practices. That is the exciting potential, for sure, but getting there means some obstacles still need to be overcome.
How Artificial Intelligence Improves Your Maintenance Processes
AI can be used in combination with a maintenance planning system to enhance and streamline the maintenance process. A maintenance planning system is designed to organize and schedule maintenance activities and optimize asset availability. AI can analyze data and predict when maintenance is needed, optimizing the planning process and minimizing asset downtime.
By utilizing machine learning techniques, AI can identify patterns in data and detect anomalies, allowing for the prediction of issues before they occur. This means that maintenance can be scheduled based on the actual needs of the assets, rather than a predetermined schedule.
Unleashing the Power of Digitalization in Asset Management: Lessons learned at Aquafin
Aquafin, a company dedicated to the transport and treatment of wastewater for over six million people in Flanders, is at the forefront of creating sustainable environmental solutions. “Our mission is to improve the quality of the rivers, and we take a wider view than wastewater alone. We are also looking at how we can play a role in creating a living environment in harmony with rainwater, next to our traditional core business, managing and treating waste water.” Van Eygen explains. This holistic approach to environmental management underpins Aquafin’s commitment to long-term sustainability and resilience.
Simplifying condition monitoring of balance of plant equipment
Knowing the health of your important assets is critical to achieving production and business goals. Colin Burg, senior account manager for reliability solutions at Emerson, explains how edge analytics devices are helping to simplify the implementation of online monitoring systems.
The four mega trends in maintenance
Focussing on Maintenance and Asset Management, we see many differences…
How to stay competitive during the Fourth Industrial Revolution
It is strategically important for companies to remain competitive and profitable by improving, innovating and redirecting their business, now and in the future. This requires them to have their engineering, asset management and manufacturing processes in order. According to PDM’s Industrial Excellence philosophy, companies can only start implementing Industry 4.0 technologies when these business processes are properly set up.
The Importance of Asset and Fleet Optimization for Power Generators
Leaders in the energy sector are exploring how digital technology can create intelligent and autonomous fleet operations to optimize daily generation, manage risk, improve margins and operate from anywhere.
Asset Management in an Industry 5.0 world
Human centricity, resilience & sustainability It is hard to imagine…
Theoretical Framework for Circularity in Asset Management
HZ University of Applied Sciences – Asset Management Research Padraig…
Circular Asset Management : Conceptual Model & Applications in the Process Industry
HZ University of Applied Sciences (HZ UAS) – Asset Management…