Alerts
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.