Predictive Maintenance
We offer you a tool for continuous production efficiency
In terms of production, enhancing performance and reducing costs and waste are actions that contribute to enhancing your company's market competitiveness and improving the ratio of investment to revenue. To provide you with increasingly efficient production results, we have developed a solution that uses artificial intelligence to continuously monitor data collected during production phases and detect anomalies in consumption, anticipate possible machine failures, and identify areas for improvement.
Monitor and refine machine performance and consumption
The production process needs to be able to make the most of the capabilities of the machinery used, but at the same time it needs to be able to plan machine maintenance based on reliable information that results in preventing downtime and optimizing consumption. There is much crucial information that effective field data analysis can provide:
- how are the machines actually performing?
- is there proper oil consumption?
- how often and on what components are failures occurring?
- what actions on the machine are correlated with likely failure?
- are there correlations between calls for service, oil consumption, and work performed on the machine?
Having a complete and accurate view of how machines are working and their service status is a great advantage. This is why answers to the most focused questions from the production department are a valuable resource for increasing efficiency and setting more ambitious goals.
Solution
Optimize maintenance actions, avoiding waste and downtime
To provide you with certain and useful answers and enable you to plan truly effective corrections and predictive maintenance actions, we have developed Machine Learning models dedicated to optical and analytical control at the machine.
During your production runs, our system's AI will analyze the performance and operation of machines in real time and detect any anomalies or deviations from the standard and optimal conditions of the production process. You will thus obtain valuable indications for improving the efficiency and safety of production lines and information on possible adjustments to be made to align with the most productive behaviors.
The system will also automatically send you alerts about impending breakdowns and failures and maintenance notes, enabling you to avoid the risk of downtime and delays on production. Using Machine Learning algorithms, our solution will track machine performance and perform historical top-up and consumption detection and analysis, distinguishing between normal and abnormal consumption thresholds, allowing you to optimize production consumption.
Benefits
A solution that ensures you maximum efficiency in production cycles
Thanks to the our application of advanced Machine Learning to predictive maintenance and analysis of production machine performance and consumption, you can achieve important benefits, including:
Efficient Production
The system will enable you to optimize consumption and detect possible anomalies well in advance, avoiding breakdowns, machine downtime and processing delays.
Predictive Maintenance
By following the indications reported by the system, you can plan maintenance actions more effectively, focusing them on targeted machines and components.
Quality Improvement
More efficient performance of production machines allows you to achieve an upgrade in the quality level of your products.
Increased Revenue
Predictive maintenance based on accurate data and information will enable you to have consistently efficient machines and lower expenses, consequently increasing profitability.