Industry
Solutions for intralogistics
For conveyor technology, sorting systems and material flow environments in which throughput losses, stop patterns and system status need to be understood more quickly during operation.
Contact usWhere analysis begins
Typical symptoms in intralogistics environments
In intralogistics systems, performance and stability depend heavily on the interaction of many transfer points, conveyor sections and operating phases. Typical symptoms are recurring stops, throughput losses under load or drift in system behavior.
Relevant questions therefore concern not only individual error codes, but also stop patterns, throughput losses, drift in system behavior and the load on critical sections.
Typical fields of analysis
These issues are particularly common in intralogistics and distribution centers.
Throughput
Sorter & conveyor technology
Visualize performance bottlenecks at transfer points, lifts and sorter routes.
Malfunctions
Stops & warning chains
Evaluate recurring fault patterns by system section and operating phase.
Operating phases
Peak vs. normal operation
Evaluate performance drops in connection with load peaks, cycle compression and material flow.
Maintenance
Wear & Drift
Detect indications of calibration requirements, wear or increasing instability at an early stage.
Typical situations from the company
The relevant questions usually arise directly in the ongoing material flow and not only in a downstream reporting view.
Classify recurring stops at critical transfer points
If conveyor lines, lifts or transfers stop repeatedly, it is often not only the error code that is relevant, but also the affected section of the system, the load situation and the chronological sequence beforehand.
- Group errors and warnings by system area
- Compare temporal accumulations and peak situations
- Derive measures based on real stop patterns
Distinguish between throughput losses in normal operation and during peak loads
In distribution centers, a drop in performance often only becomes apparent under real load. It therefore makes sense to evaluate the cycle, waiting times and disruptions in connection with operating phases.
- Evaluate peak and normal operation separately
- Make waiting times and congestion points visible
- Identify sections with a permanent bottleneck
Detect wear and calibration requirements earlier
Slight drift in signals, cycle times or error patterns can indicate an imminent need for maintenance. These developments often go unnoticed without systematic evaluation.
- Observe trends over longer periods of time
- Prioritize conspicuous components
- Replace reactive interventions with planned measures
Advanced functions
Matching modules on the same database
Depending on the type of system and data situation, different modules can be added to further expand on faults, signals or automatic classification.
Supplementary modules
These function modules can be combined with the same data and integration basis.
Alarm analysis
For the evaluation of warnings, error chains and fault patterns in conveyor and sorting systems.
Dashboards & visualizations
If high-frequency signals, sensor values or status data are to be analyzed in more detail.
Manufacturing Analytics Copilot
If conspicuous situations are also to be processed automatically and made easier for operational teams to classify.
Demo
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