Production scheduling. The backlog ranked by margin, not by escalation.
The schedule is where sales promises meet finite capacity, and in most plants it’s rebuilt by hand every morning — optimized for whoever escalated last, not for throughput or margin.
Eridian builds finite-capacity schedulers that rank the backlog by contribution margin and due-date risk, minimize changeovers, and re-plan when a machine goes down. The optimizer is deterministic — the same inputs produce the same schedule — and AI handles the exceptions and explains the plan in plain language.
A finite-capacity scheduler that ranks the backlog by contribution margin and due-date risk.
Changeover-aware sequencing from a deterministic optimizer — the same inputs produce the same schedule, every run.
AI on the exceptions: re-planning when a machine goes down, and a plain-language explanation of why the plan looks the way it does.
The objects this use case reads and writes — stood up during the diagnostic, shared with every use case that follows.
This is a diagnostic candidate: two to three days on your floor, the relevant slice of the Ontology stood up from your data, and a working first pass you can judge in production terms — not a deck.
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