Maximum reliability for your systems
Increase machine availability through predictive maintenance.
In manufacturing companies, technical systems are subject to constant wear and tear. The exact wear depends heavily on local operating conditions. To conserve resources and keep costs low, demand-oriented maintenance is crucial. Only when your machines and processes function flawlessly can you achieve economic goals. Predictive maintenance ensures just that.
Prevention instead of reaction
Preventive maintenance sustainably reduces support costs.
With preventive maintenance, your systems are regularly checked. This ensures that your machines operate optimally during ongoing operations. This strategy significantly reduces the likelihood of failures. As a result, not only do the number and severity of disruptions decrease, but also your support costs by up to 50%.
Predictive maintenance
Through precise data analysis, you can identify potential disruptions early and take action in a timely manner.
Preventive maintenance
Regular maintenance increases machine availability and significantly reduces the number of unplanned outages.
Real-time monitoring
Thanks to continuous collection of real-time data, problems can be identified and resolved immediately.
Optimized support costs
Reduce your support costs sustainably by up to 50% through targeted and needs-based maintenance.
Digital Sensor Technology
Use modern digital sensors to accurately and early detect wear on equipment.
Central Machine Book
With a central documentation system, you can always keep an overview of all maintenance, repairs, and malfunctions.
dibalog EAS Integration
The integration of the dibalog EAS enables comprehensive machine monitoring without additional hardware costs.
Improve maintenance planning
Schedule maintenance appointments as needed to ensure production processes run smoothly without disruptive interruptions.
Plan maintenance strategically
Real-time data enables predictive maintenance.
Predictive maintenance uses real-time data to detect upcoming disruptions early. By analyzing machine and process data, you receive forecasts about potential issues. Maintenance teams can respond before a serious problem arises. This way, your operations remain uninterrupted and your production efficient.
Intelligent monitoring with dibalog
Determine optimal maintenance times precisely
The dibalog systems continuously monitor your machines and detect signs of wear early on. A central data collection system transparently documents all relevant activities, such as malfunctions, repairs, and maintenance. This allows you to carry out maintenance precisely and only when it is actually necessary. Thanks to the integrated dibalog EAS, you do not need any additional hardware or communication technology.
Summary: Predictive and preventive maintenance - Operational optimization
Predictive Maintenance
Early detection of faults through precise data analysis to enable timely responses.Preventive Maintenance
Regular maintenance to ensure machine availability and reduce unplanned outages.Real-Time Monitoring
Continuous real-time data allows for immediate detection and resolution of machine issues.Optimized Support Costs
Through demand-based maintenance, support costs can be reduced by up to 50%.Digital Sensors
Digital sensors reliably and early detect wear and tear on machines and equipment.Central Machine Log
All relevant maintenance, faults, and repairs are clearly documented in a central machine log.dibalog EAS Integration
The dibalog EAS integration enables efficient machine monitoring without additional hardware costs.Improve Maintenance Planning
With a demand-based maintenance planning, you can avoid interruptions in the production process.