Asset Performance Management
Focus on condition, performance & risk management
New potential through innovative technologies and artificial intelligence
What is Asset Performance Management
- The use of Artificial Intelligence in Asset Performance Management can further optimise the performance and efficiency of physical assets.
- APM aims to improve the reliability, availability, safety and efficiency of assets while minimising operating costs and downtime.
- APM uses AI-powered methods to collect and analyse data from various sources, such as sensors and maintenance logs, to identify patterns and make accurate predictions.
- Common APM methods include condition monitoring, preventive maintenance, reliability-centric maintenance (RCM), asset health management and asset performance analytics.
- APM provides detailed information on the condition of assets and helps to reduce maintenance costs and optimise capacity utilisation.
- Overall, APM leads to improved operational efficiency and profitability.
APM as a bridge from EAM to productivity
Performance
The use of AI in APM can significantly increase the performance and service life of production facilities by proactively monitoring and optimising maintenance processes. Maintenance processes are continuously monitored, analysed and optimised in order to increase efficiency and productivity. Bottlenecks are identified and faults are recognised and rectified in good time. The targeted increase in energy efficiency reduces operating costs and increases competitiveness. Increased plant availability and reliability improves the ability to plan production, increases plant utilisation and boosts customer satisfaction.
Resource consumption
AI-based analyses of sensor data on the energy consumption of assets enable optimised and efficient energy use by identifying inefficiencies at an early stage. The technology identifies inefficient assets and processes and suggests improvement measures. It also recognises potential problems at an early stage. By analysing real-time data, deviations in energy consumption are detected in order to avoid disruptions and inefficient operating conditions. The added values are increased profitability, cost reduction and a positive impact on the environment.
Product and process quality
AI-supported real-time monitoring of assets enables the immediate detection of potential problems and contributes to the continuous improvement of product and process quality. With the help of data analysis, weak points can be identified and process improvements implemented to ensure high standards and optimise product traceability.
Overal Equipment Efficiency (OEE)
Overall Equipment Effectiveness (OEE) measures the overall effectiveness of production facilities and is a combination of three factors: availability, performance and quality. OEE is used to identify and eliminate bottlenecks and inefficiencies in production. “By using AI in APM, plant performance and Overall Equipment Effectiveness (OEE) can be further increased through precise analyses and predictions.
Asset Health Management
Asset health management is an important method for reporting the current and future condition of assets. By continuously collecting and analyzing data, potential problems can be identified at an early stage and appropriate measures can be taken to minimize failures and extend the life of assets. Asset health management can ensure that there is always visibility into the condition of the asset.
Early detection of problems
The use of asset performance management enables proactive maintenance planning to avoid downtime. Preventive maintenance measures on production equipment ensure continuity of production capacity, product quality and adherence to schedules.
Reduction of downtime
The use of asset performance management enables proactive maintenance planning to avoid downtime. Preventive maintenance measures on production equipment ensure continuity of production capacity, product quality and adherence to schedules.
Extending the life of assets
The use of asset health management extends the life of assets and protects investments. One example is the preventive maintenance of assets to ensure that they remain in a sustainable, operational condition over the long term. By taking such a proactive approach, the maximum benefit is derived from the assets.
Cost reduction
The use of asset health management extends the life of assets and protects investments. One example is the preventive maintenance of assets to ensure that they remain in a sustainable, operational condition over the long term. By taking such a proactive approach, the maximum benefit is derived from the assets.
Better decision through data analysis
The use of asset health management extends the life of assets and protects investments. One example is the preventive maintenance of assets to ensure that they remain in a sustainable, operational condition over the long term. By taking such a proactive approach, the maximum benefit is derived from the assets.
Increased efficiency
Asset health management increases efficiency by improving utilization of production capacity, lowering operating costs, and reducing maintenance time. One example is the use of real-time data to monitor asset performance and utilization.
