See It Work — A January capacity model doesn't know about February's breakdown | Book 08 · AI Agents for Manufacturing Ops

Capacity planning done once, statically, is wrong almost immediately: a capacity model built in January does not account for the machine that went down in February, the order that surged, or the line that's now bottlenecked. A dynamic resource-allocation agent re-plans capacity continuously as conditions change, so the plan always reflects the floor as it actually is.

Running on a stale capacity model means committing to deliveries you can't make and idling resources you could use. Dynamic re-planning keeps capacity honest against a floor that's always moving.

What this means for you

A dynamic capacity agent re-plans as the floor changes, so the model never goes stale. What this means for you: you stop running on a capacity model that's wrong the moment a machine goes down or an order surges — the agent re-plans continuously, so you commit to deliveries you can actually make and use resources you'd otherwise idle.

Capacity re-plans continuously against the real floor:

Capacity Planning

static modelstale immediately

January planmisses February's breakdown

the agentre-plans dynamically

resultcapacity reflects reality

A capacity model built in January does not account for the machine that went down in February.

For the technical reader — the command, and how to verify it yourself

# one line · you do not need to run this
see walkthrough

see walkthrough
# -> capacity that re-plans dynamically instead of going stale

Full step-by-step is in Appendix RX: Hands-On Demonstrations in the book.