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AI Notebook
  • Line 01 · Station 2
  • Last 4 weeks

Compare the cycle time per product variant across the shifts.

Result

Variant A runs at 42 seconds on average, variant B at 58. The difference is the same in every shift, so it comes from the product, not from the shift.

Cycle time per variant and shift, secondsVariant B: +16 seconds
A earlyA lateA nightB earlyB lateB night

Note: Add target times per variant before assessing the deviation.

Analyze production data with AI. Narrow down problems.

Why is rework increasing? Which machines stop repeatedly? Where do process curves differ? Bytefabrik helps you prepare the data, create your own analyses and investigate unusual developments.

See AI analysis in a demo

Three tasks from manufacturing: assign measurements to a shift, compare process curves and identify increasing rework. AI Pipelines and AI Notebooks are part of the IoT Data Hub. The Copilot extends the analyses in Manufacturing Insights.

AI Pipelines: prepare measurements for analysis.​

Standardize timestamps, convert units and assign shifts: describe the processing you need. AI generates code that you can review and test with sample data.

After reviewing the pipeline, start it to apply the generated logic to the live data stream. AI supports development; the rules and results remain available for inspection.

Explore AI PipelinesAI Pipelines and AI Notebooks are tools within the IoT Data Hub.
Example · Your request
“Standardize timestamps and assign measurements to shifts.”
Schematic example illustrating the workflow; not a customer measurement.

Shift assignment requires timestamps, the plant time zone and a shift schedule. Also check shifts spanning midnight and missing values.

AI Notebooks: why do shifts differ?​

Ask a question about stored production data. The AI Notebook generates Python code for the analysis and displays results as tables or charts. Follow-up questions let you change the comparison or narrow it down to the affected products.

Explore AI Notebooks
Example · Your question
“Compare the process curves for product A in the early and late shifts. Where do they differ?”
Schematic example illustrating the workflow; not a customer measurement.

Compare the same product variant under comparable conditions. Check sample counts, missing values and the calculation before interpreting the difference.

Copilot: which machine needs your attention?​

The Manufacturing Analytics Copilot examines available data from the Insights modules in the background. If rework increases on a line, for example, it can prepare a Data Story showing the period, comparison and supporting data.

Your team reviews the finding and asks follow-up questions in the chat: does the change affect all products or a particular variant? Linked analyses support further investigation. You work with the process owners to establish the cause and decide on an action.

Explore the Manufacturing Analytics Copilot
Schematic example illustrating the workflow; not a customer measurement.

Quality data shows that rework has changed. Investigating possible causes requires additional information, such as process parameters or part histories.

30-minute product demo

Which production question would you like to investigate with AI?

In 30 minutes, we use sample data to show how to prepare data, build a shift comparison or investigate an unusual development on a machine. Together, we identify the data needed for your question. You do not need to prepare data for the demo.

Request a 30-minute demo