Production planner on live capacity
Schedules built from real machine load and material availability, updated when the day changes.
Committed volumes, fixed prices – and a line that looks different by mid-morning than the plan said. We build systems that recalculate the plan, check quality at the station and keep supplier data in one place.
Fig. 02 – Automotive & transportWhat's changing
The pressures we hear from Tier 1 suppliers and assembly plants alike, whatever the volume.
Prices are fixed for years while material, energy and labour move every quarter. The only room left is in how the plant runs.
A late delivery or a failed machine means rebuilding the schedule by hand, and the plan on paper stops matching the floor by mid-morning.
Quantities and dates from customers move all the time, and the plan has to follow – usually by hand, in a spreadsheet only one person understands.
Delivery performance, quality events and price changes sit in portals, emails and spreadsheets that no one can query together.
Across the value chain
We work wherever the data already exists. Most plants start at one stage and extend once it pays for itself.
Plans that survive a stopped station, a late truck or a changed call-off.
Machine and process data turned into decisions inside the shift, not after it.
Defects found at the station that made them, with the record an audit expects.
Delivery, quality and cost data from every supplier in one place.
Material at the line when it is needed, and not three pallets too early.
Selected systems
Schedules built from real machine load and material availability, updated when the day changes.
Camera and model at the station, flagging defects as parts are made rather than at final check.
The system decides where every incoming box is stored and which one is picked first, so material reaches the line on time and robots working side by side never wait.
AI-Technolog and AI-Konstruktér are built into the systems we deliver.
Contact
Thirty minutes with a founder. No pitch – a conversation about your process, your data and whether a system would pay for itself.
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