Manufacturing Insights
From gut feelings to data-driven decisions.
Before you can make improvements, you need to know what's going wrong. We use data to assess the current situation and show you how production analytics can save you money.
What transparency is really about
From suspected causes to reliable decisions
To ensure transparency, it is crucial to understand deviations related to the station, product, process, and time more quickly.
Relevant questions include, for example: Which station is increasing the scrap rate? Which process parameters are showing initial drift? Which product variants and workpiece carriers are causing more rework?
This is precisely why existing machine and process data is compiled into a report that provides not only key metrics but also in-depth insights into actual production operations.
Your challenges
Where transparency is lacking
- 01
Fluctuating performance level
The performance level of your system often fluctuates and manifests itself in costly problems such as increased reworking, unforeseen breakdowns or more rejects.
- 02
Time-consuming troubleshooting
The causes of problems that occur are complex due to the large number of processes in your system and require intensive troubleshooting - causes include wearing parts, but also changes in the quality of supplied parts and environmental aspects.
- 03
Skills shortage
The knowledge of how to operate your system optimally is often in the heads of a small number of employees - this knowledge is quickly lost due to fluctuation and a lack of specialists and is not explicitly recorded.
How our solution helps
Example: From an unusual period to an error message
A line shows lower output. Select the period, compare station states, and open error analysis for an unusual interval. Your team sees the corresponding messages and can check possible causes in the process.
- This provides quality managers, process engineers and maintenance staff with a basis for classifying rejects, rework, error patterns and system behavior more quickly and prioritizing measures in a more targeted manner.
Manufacturing Insights extends the IoT Data Hub
Ready-made manufacturing analytics with configured machine and product data
Output analysis
Compare good parts, rejected parts, and rework by product and period. If the deviation is concentrated in certain variants or production periods, your team can investigate further there.
Start a pilot with a specific production loss question
For example: Which station stands out during periods of lower output? Within a few days to weeks, we set up a focused analysis use case. Scope and data availability determine the timeline.
- 01
Connect the first data sources in a workshop
We'll work with you to select a system and a specific loss scenario. We'll connect the initial data sources directly during the workshop.
- 02
Configure equipment and analysis views
We configure the IoT Data Hub and the relevant Manufacturing Insights modules. States, errors, and the required product or process data are mapped.
- 03
Evaluate the use case with your team
With customized views, you can identify production losses early on. We evaluate the benefits based on the agreed-upon goals.
30-minute product demo
See the next step behind your KPI
In 30 minutes, we'll walk you through the process—from notable output to machine statuses to the corresponding error messages—all without any preparation.