Most pharma supply chain plans don't survive contact with the shop floor. Schedules built manually in Excel, disconnected from real operational data, and blind to upstream dependencies are fragile by design.

Three things consistently break pharma schedules:

• Poor visibility. Planners can't confirm whether inventory, labor, or equipment will actually be available — and bottlenecks stay hidden until it's too late.
• Assumption-based plans. Upstream and downstream interdependencies, production variability, and changeover logic are rarely reflected in the schedule, leaving no room to absorb disruption.
• No alternative. When something breaks, teams keep following a broken schedule because it's the only one they have.

This snapshot breaks down the root causes and shows what changes when scheduling is built on operational facts rather than assumptions. The result: fewer unplanned stops, protected OEE and OTIF, and a planning team focused on high-value decisions rather than firefighting.