InfoPlanning Data Failure2026-06-20
FAILURE: Capacity plans become mathematically correct and operationally wrong when constraints are stale
Current planning signals emphasize plan-for-every-part, production capacity, maintenance optimization and constraint-based planning. These systems remain exposed when labor, maintenance, tooling, material or yield assumptions are not refreshed and owned.
Why it matters
A planning engine can optimize only the constraints it receives. Stale assumptions can produce a technically valid plan that cannot be executed.
What leaders should monitor
- parameter age and effective dates;
- named owners for capacity constraints;
- modeled versus demonstrated capacity;
- manual overrides and local calendars;
- maintenance and tooling changes not reflected in APS or ERP.
Sources: Caterpillar and DecisionBrain.
The Dataleo angle
Capacity governance should treat every constraint as a dated, owned planning parameter with a defined source and refresh cycle.
