Smelting & pouring process intelligence (SPIS)
Melt-to-pour traceability for a foundry where scrap is guessed at and the melt data lives in the furnace controller.
In a castings foundry, melt chemistry, temperature, timing, and pouring data often remain inside furnace controllers or operator memory. Scrap attribution then happens after the fact, if it happens at all.
Capture the smelting and pouring process end to end so every casting is traceable to its heat, and scrap has a root cause instead of a guess.
The solution, layer by layer.
Melt-to-pour capture
Furnace temperature, chemistry, and pour timing streamed off the controllers into one process record per heat.
Heat-level traceability
Each casting is linked to its melt data so a quality escape can be traced to the relevant heat and process history.
Scrap root-cause analytics
Rejections are correlated with process deviations to build a measured Pareto of scrap causes.
Shift & process dashboards
Live process state and shift reporting for the floor supervisor and the quality team.
Figures are recorded outcomes or project targets. The status label identifies reference architectures and proposals.
Have a problem shaped like this one?
Bring the asset, its current data path, and the decision that is still being made manually. We will map the first useful scope.