SolutionsPlanningInventory & Planning

Capacity Allocation

Production capacity is short, and every order thinks it's first.

The decision

Demand exceeds what the line can produce this period. Three orders compete for the same constrained capacity — one strategic, one high-margin, one at risk of penalty. Who gets made first?

Why it's hard today

Sequence wrong and you breach an SLA, leave margin idle, or burn a strategic account. The right order depends on penalties, margin, and strategic weight — which live in different systems and different heads.

Why your systems don't help

Your scheduler sequences by due date or rule; it doesn't weigh the penalty clause, the margin, and the account's strategic value against each other. It produces a schedule, not a trade-off decision.

What AgentForgeOS does

It assembles the picture you can't see, and makes the call under your rules.

Sequence to avoid the penalty and protect the strategic account, fitting the high-margin order where changeover allows — under your capacity policy.

Operational context assembled
  • Available capacity and constraints
  • Order due dates and penalties
  • Margin by order
  • Account strategic weight
  • Changeover costs
Governed by your policy
  • Penalty-avoidance rules
  • Strategic-account priority
  • Changeover-cost limits
  • Due-date constraints
decision-workspace · capacity · line 2

⚠ Capacity 0.7× demand — line 2, three orders competing

Evidence assembled

  • Order A: tier-A account, mid-margin
  • Order B: high-margin, flexible date
  • Order C: penalty at +2 days
  • Changeover between A and C is costly

Recommendation · sequence C, A, B to avoid penalty and protect tier-A

Policy: penalty avoided · tier-A protected · changeover within limit · awaiting scheduler

Decision Object #L2-44Evidence ×4Policy ✓ApproveResequence

What improves

  • Penalties avoided
  • Margin and strategic value protected
  • Less idle capacity
The knowledge it keeps

Each sequencing call and its result is kept, so the model learns this line's real changeover and throughput behavior, improving with use.

Under the hood

Underneath, this is the same operating model the rest of the platform runs: verified context is assembled, options are weighed and adversarially challenged, the decision is governed by your policy, and the outcome is learned. The decision changes from one of these to the next. The architecture does not.

See how it works

This is exactly how your team works today.

Only now the decision is assembled, governed, and remembered — instead of made from memory and lost.