
Optimizing Scheduling in Aerospace OEM and MRO Operations
Explains how to generate daily granular schedules for aerospace manufacturing and repair using probabilistic methods and a Bill of Resources instead of FIFO or macro heuristics.
Aerospace OEM and MRO operations require daily micro-level schedules that assign specific parts, tools, and technicians while accounting for frequent resource unavailability. The document contrasts macro-level inventory policies with micro-level sequencing and shows why traditional approaches such as Min-Max and FIFO fail under high combinatorial complexity. It presents a probabilistic, stochastic optimization framework that regenerates feasible, financially ranked sequences within minutes when any element of the Bill of Resources changes.
Aerospace scheduling must optimize a Bill of Resources (parts, tools, people) rather than a deterministic BOM.
Daily uncertainties are statistically normal; regeneration of the full schedule must occur in minutes, not through emergency meetings.
FIFO and other simple heuristics ignore financial impact and resource interdependencies at the task level.
Micro-level planning requires probabilistic forecasts and stochastic optimization to rank sequences by expected financial return.
Macro inventory policies alone are insufficient; daily granular assignment of every resource is needed for feasible execution.