Frequently Asked Questions About Production Optimization
Answered briefly and precisely – so you can get straight to implementation.
Industry 4.0 · Production Optimization
Our cloud-based platform connects production planning, quality control, and resource management in one system. AI-powered analytics make bottlenecks visible, reduce downtime, and increase the efficiency of your equipment – from mid-sized companies to large enterprises.
Reduction of unplanned downtime
up to 30%
Increase in machine utilization
+18%
Our platform combines production control, quality management, and resource planning in a cloud-based environment. This gives you full visibility into machines, materials, and personnel – in real time and across all locations.
View all modulesCapture utilization, cycle times, and downtime of your equipment directly at the source. The data is automatically processed and displayed in clear dashboards.
Reduces unplanned downtime by up to 30 percentOur algorithms detect deviations in production early – from material properties to dimensional accuracy. This prevents waste before it occurs.
Significantly lowers the defect rate in series productionPlan machine allocation, shift models, and material availability on a central platform. Bottlenecks become visible before they halt production.
Increases machine utilization without additional investmentOur sensor data analysis detects wear patterns and predicts maintenance needs. You maintain exactly when it is necessary – not too early, not too late.
Significantly extends the lifespan of your equipmentAll production steps are automatically logged and stored in an audit-proof manner. This simplifies audits, certifications, and traceability of individual batches.
Saves up to 15 hours of documentation work per weekMonitor electricity, compressed air, and cooling water for your systems in real time. Our analyses reveal savings potential that would otherwise go unnoticed in the daily hustle.
Reduces energy costs by an average of 12 percentThree expansion stages that are tailored to the size of your production. Each variant can be expanded later – without data loss and without changing the interfaces.
Real-time recording of running times, downtimes, and cycle counts. Ideal for companies that want to gain transparency about their equipment first. Includes a standard dashboard and a weekly report by email.
Extends monitoring with digital inspection plans, documentation of measured values, and automatic warnings in case of deviations. The AI analyzes patterns and suggests corrections before waste occurs.
Connects sensor data with maintenance schedules and forecasts wear. You receive recommendations with time windows, so maintenance remains plannable and unplanned downtimes occur significantly less often.
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Answered briefly and precisely – so you can get straight to implementation.
Integration is typically carried out via standardized interfaces such as OPC-UA or MQTT. Depending on the complexity of the machine landscape, initial commissioning takes between two and four weeks. Our team supports the integration on-site or remotely.
We process machine data, sensor data, quality inspections, and ERP data. The platform can use both historical data for training and real-time data for ongoing optimization. Connections to common MES and ERP systems are already prepared.
No, the platform is designed as a cloud solution and is operated by us. Your team configures dashboards and alarms themselves via the interface. We provide targeted training for your employees to set up the data connection – the effort involved is just a few days.
The data is hosted in a European data center and protected by TLS encryption. Access is role-based and logged. On request, we provide a separate data model for sensitive manufacturing processes.
Yes, the planning algorithms are flexible and take setup times and material availability into account. Especially in high-mix manufacturing, the digital twins help identify bottlenecks early and improve utilization.
By analyzing vibration and temperature data, unplanned downtime can be reduced by up to 30 percent. Maintenance work is planned based on demand rather than rigid intervals. This extends the lifespan of your equipment and reduces maintenance costs.