Run better than your best shift.
Most process losses come from a setting that has slowly drifted, a restart that night shift handles differently from day shift, or a line running faster than the next station can absorb, far more often than from a broken machine. Matching your best run is only the starting point. Stamped builds a digital twin of each line from its own history and uses mathematical models of the process, reinforcement learning and machine learning to test better control policies before anything changes on the floor, then recommends the improved setting, control rule or restart routine to your process engineer, who can accept it, adjust it or turn it down.
What the people who own the problem receive
- ExampleRestart, for the shift lead
Keep the heater warm during stops shorter than [N] minutes, starting from A shift, because last month's restarts sent [N] parts out of window.
- ExampleControl, for the process engineer
The heater aim has drifted by about [N]°C over [N] weeks, so a new aim with a small drift correction is ready for review before a step test.
- ExampleControl policy, for the process engineer
A revised heater control rule, tested on the line's digital twin, holds the aim within [N]°C through stops where today's rule overshoots, so it is ready for a step test on Line [2].
- ExampleDie casting, for the cell lead
Castings from the first [N] shots after a die change on cell [4] failed leak test more often last month, so a longer warm-up before releasing parts is ready for your review.
Numbers in [brackets] are placeholders. Your pilot writes these from your own plant data.
Energy follows every operating decision.
A reheat or an hour of a furnace sitting hot and empty uses energy that never ends up in a good part. Because most of the saving comes from running the plant better, Stamped counts energy inside every action described above and measures it against your own baseline, with tariff windows and demand peaks treated as one input among many.
In process and control: Restarts, reheats and settings that have drifted all use energy that never ends up in a good part, so every process recommendation shows what it does to energy per good part as well as to output and quality.
What process and control looks at in each industry
Also across the plant
Questions about process and control
How does Stamped improve process control?
Stamped builds a digital twin of each line from its own history and uses mathematical models of the process, reinforcement learning and machine learning to test better control policies before anything changes on the floor. It then recommends the improved setting, control rule or restart routine to your process engineer.
Where do most process losses come from?
Most process losses come from a setting that has slowly drifted, a restart that night shift handles differently from day shift, or a line running faster than the next station can absorb, far more often than from a broken machine.
Does Stamped change settings on the line by itself?
No. Stamped recommends and your team decides. Your process engineer can accept a recommendation, adjust it or turn it down, and new control policies are tested on the digital twin first.
How is energy counted in process recommendations?
Restarts, reheats and settings that have drifted all use energy that never ends up in a good part, so every process recommendation shows what it does to energy per good part as well as to output and quality.
What owners usually ask us first.
- What does it cost?
- Only the pilot price is agreed at the survey. The pilot is paid and priced on its own, and the annual price comes after, based on the pilot's results.
- What do we need to install?
- Nothing new to start. Stamped connects to the machines, meters, ERP and registers you already have, and the survey tells you plainly if that is enough.
- How much of my team's time?
- Some hours with your plant head and your quality and maintenance leads during the survey, planned around production. In the pilot, actions reach the people who already own that work.
- Is our data safe?
- We sign an NDA before the survey and work only with the data your team agrees to share. Ask us anything about where it is kept before anything is connected.