About
Capacity hides in decisions, not equipment.
Plants add equipment because they believe it will increase throughput. Without a model of the system, the constraint is usually somewhere else, so the investment moves the bottleneck instead of removing it. SmallInput exists to close that gap: model the plant as the system it actually is, then test decisions against it before the money is spent.
The Thesis
A plant is a system of interacting constraints.
In systems where constraints interact, small changes in everyday decisions (scheduling, sequencing, changeovers) can produce outsized improvements in throughput, reliability, and capital efficiency. The leverage is rarely in the equipment. It is in the system.
That is the lens behind everything SmallInput builds, drawn from a simple frame for industrial operations:
Throughput
The rate at which the system turns time into output and profit.
Reliability
The variance that determines whether you can commit to a schedule and the revenue behind it.
Leverage
The few decisions where a small change creates disproportionate economic impact.
Forward-Deployed
We embed at the plant. We do not hand you a slide deck.
A behavioral model is only as honest as the floor it is built from. So an engineer walks the lines, watches the changeovers, and maps the dependencies the process diagrams leave out. The model is constructed from how the plant actually runs, and it stays connected as operations change, so the intelligence deepens with every decision instead of expiring with the engagement.
See where your plant's capacity actually lives.
Small input, massive output. Start with a single modeled decision.