Every work center has a limit on how much it can do, and a plant runs well only when work is matched to that limit. This piece explains work center capacity and load planning in Odoo.
What capacity means
Capacity is how much a work center can do in a given period. A work center is not infinite; a machine, a station, a resource can only process so much in an hour, a shift, a day. Capacity is the honest statement of that limit. Load is the amount of work currently planned onto a work center. Load planning is the work of keeping the load matched to the capacity, neither far below it, which is idle capacity wasted, nor far above it, which is a schedule the work center cannot meet.
How Odoo holds capacity
In Odoo, a work center carries its capacity as part of its setup, along with its working calendar, which says when it is available. Odoo also supports defining capacity that is specific to particular products, recognising that a work center may process different products at different rates. Together, the capacity and the calendar tell Odoo how much a work center can genuinely do and when. This is the foundation of load planning: without a realistic capacity and calendar, there is nothing to plan the load against.
Seeing the load
Odoo lets a manufacturer see the load on its work centers, how much work is planned onto each. This visibility is the heart of load planning. With it, a manufacturer can see which work centers are heavily loaded, perhaps overloaded, and which have spare capacity. A work center buried under more work than it can do is a bottleneck and a source of delay; a work center sitting idle is wasted capacity. Seeing the load is what lets a manufacturer notice both.
Planning the load
With the load visible against capacity, load planning becomes possible. When a work center is overloaded, a manufacturer can act: move some work to a less loaded period, shift work to an alternative work center that can do the same job, or adjust priorities so the most important work is what the loaded work center does. When a work center is underused, a manufacturer can see there is room to take on more. Load planning is this ongoing work of balancing, keeping the plant's work spread sensibly across its capacity rather than letting some resources drown while others idle.
The role of alternative work centers
Load planning is much easier when there is flexibility, and alternative work centers provide it. If a work center can have alternatives defined, other work centers able to do the same work, then an overloaded work center's work has somewhere to go. Setting up alternatives where they genuinely exist gives load planning room to balance the plant rather than simply observing an imbalance it cannot fix.
Capacity planning depends on honest data
Load planning is only as good as the capacity figures behind it. If a work center's capacity is set optimistically, higher than it can really achieve, load planning will look fine while the floor falls behind, because the plan assumed a capacity that does not exist. If the calendar does not reflect real availability, the same. Honest capacity and calendar data is what makes load planning real. A manufacturer should set work center capacity from what the resource genuinely does, not from what it would do in a perfect world.
Why this matters
Capacity and load planning matter because they are how a plant avoids two costly failures: bottlenecks, where overloaded work centers cause delay and missed deliveries, and waste, where capacity sits idle. A manufacturer that plans load against honest capacity runs a plant that is busy but achievable. A manufacturer that does not is repeatedly surprised by delays and never sure whether it could take on more.
The takeaway
Work center capacity in Odoo is the honest limit of what a work center can do, held with its calendar as part of its setup. Load planning is keeping the planned load matched to that capacity, using Odoo's visibility of work center load, and acting on overload by rescheduling, using alternative work centers, or adjusting priority. It depends on honest capacity data, and it is how a plant avoids both bottlenecks and idle waste. For how we approach Odoo for manufacturers, see our manufacturing work.