News
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.
Seeing the Whole Grid: Rethinking Transformer Monitoring in a Complex World
Transformer failures are costly, yet fleet-wide health visibility remains a major challenge. We talked to Hans Rigole, Expert Condition Monitoring of transformers at ENGIE Laborelec. His session at Asset Performance 2025 reveals how OneBoard brings clarity, foresight and structure to transformer asset management.
Asset Performance Conference 2024 Highlights
The Asset Performance Conference 2024 brought together more than 350…
Intelligent Processes: How the osapiens HUB Increases Efficiency in Asset Performance and Maintenance Execution
The introduction of an intelligent asset management platform opens up a multitude of new opportunities. Where data was once isolated in different systems like ERP, MES, and asset management, it can now be integrated through a modern software solution, unlocking innovation and differentiation.
Maintenance management teams are under increasing pressure to cut costs and allocate resources more efficiently. Inflation, rising energy prices, and higher labor costs strain budgets and make it harder to maintain high-quality service.
Optimizing maintenance: a strategic approach for industry professionals
In today’s fast-paced industrial environment, industries such as energy, manufacturing, and food production face the ongoing challenge of maintaining efficiency while managing costs. Predictive maintenance, supported by a structured, data-driven approach, offers a powerful solution to enhance the reliability and lifespan of assets, leading to improved operational performance.
Scarcity of technical labour market is an opportunity to innovate more
Rob Gülickers, Technology director at Sitech: ‘Industry 5.0 is the next step in the industrial evolution, in which the synergy between man and machine is central. It builds on previous revolutions, such as Industry 4.0, where automation and digital technologies dominated. Industry 5.0 aims at a collaboration between human skills and advanced technologies. This allows us to increase productivity and improve efficiency.
Sustainable Asset Management makes a difference
The industry is very aware of the need to become more sustainable. Manufacturing companies are already taking major steps to reduce greenhouse gas emissions and energy consumption. But there is still a gap to be filled in reaching the European climate and energy targets. Sustainable Asset Management could be the answer.
Turn complexity into simplicity
Condition monitoring of all critical powertrain components is a challenge for all industrial sectors. Maintenance engineers need scalable and holistic monitoring solutions that provide detailed insights into the condition of both mechanical parts, as well as the electrical components in rotating machines.
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.