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Capacity Planning

Finite Capacity Scheduling vs Infinite Capacity Planning

Practical manufacturing software knowledge for ERP, MES, MRP, factory planning, shopfloor execution and connected decision-making.

By Factovare2026-10-093 min read

A planning system can report that an order should start tomorrow even when the required machine is already fully loaded. The difference often comes from whether the model checks available capacity.

Infinite planning explained

Infinite capacity planning assigns work based on requirement dates without strictly preventing overload. It is useful for quickly estimating demand on resources and highlighting overload periods, but not proof that a delivery date is achievable.

Finite scheduling explained

Finite scheduling assigns operations within the available work-center calendar. It accounts for machine occupancy, shift time, maintenance windows and sequencing rules. The output is more realistic but depends on accurate master data.

Simple example

A work center has eight usable hours tomorrow. Three jobs require four, three and three hours. Infinite planning may place all ten hours tomorrow; finite scheduling must move at least two hours or use an approved alternative resource.

Where companies struggle

Cycle time errors, missing setup assumptions, unrecorded breakdowns and incorrect alternate routes make any schedule unreliable. The planner needs a way to override exceptions with documented reasons.

Conclusion

Use infinite planning to understand load and finite scheduling to test execution feasibility.

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Frequently Asked Questions

What is the difference between finite and infinite capacity planning?

A planning system can report that an order should start tomorrow even when the required machine is already fully loaded. The difference often comes from whether the model checks available capacity.

When should a factory use finite scheduling?

Finite scheduling assigns operations within the available work-center calendar. It accounts for machine occupancy, shift time, maintenance windows and sequencing rules. The output is more realistic but depends on accurate master data.