Infinite Scheduling
Infinite scheduling is a production-planning mode that schedules operations without constraining them to actual resource capacity, assuming enough capacity exists and allowing multiple operations on the same resource simultaneously. In ERP and APS systems, it generates due-date-driven plans backward from need dates using routing times, without checking work center load. It is capacity-agnostic sequencing, contrasted with finite, capacity-constrained scheduling.
On the shop floor, infinite scheduling is typically used in the rough-cut phase of planning, when the priority is speed rather than executable realism. Planners feed in order due dates and routings, and the system produces a plan that shows what the timeline would look like if every work center were always available. That output supports quick promise-date estimates and what-if scenario analysis, and can identify what needs to happen before a finite scheduler takes over. In warehousing and raw-material tracking, the same logic drives upstream release and procurement dates as if downstream work centers will be ready. This accelerates planning cycles, but it must be paired with a later finite scheduling step. Otherwise, materials arrive in staging while the actual bottleneck cannot consume them, causing congestion and false shortage signals.
Does infinite scheduling mean unlimited physical capacity?
No. It means the software assumes unlimited capacity for planning purposes, not that the plant actually has it. The schedule is capacity-agnostic and must be reconciled with real constraints during finite scheduling.
What data does infinite scheduling typically use?
Routing and operation sequence, operation durations, resource requirements, and due dates or need dates. It does not use work center load or capacity constraints, which is why it can generate plans quickly without overload alerts.
When is infinite scheduling most appropriate?
It is most appropriate during high-level planning, rough-cut capacity analysis, and fast what-if analysis, where speed matters more than executable realism. It should be paired with finite scheduling or capacity leveling before dispatch to avoid hidden overloads.