Forging: Capacity balancing and load control

Forging | Uneven load created bottlenecks and under-utilized cells

A forging operation balanced machine load and improved throughput with better work-order planning discipline.

The Reality

• Machine loading decisions depended on planner memory.
• Overloaded cells delayed downstream operations.
• Available capacity in alternate routes was underused.

The Cost

• Throughput loss and avoidable queue build-up.
• Higher overtime on overloaded cells.
• Inconsistent dispatch reliability during demand spikes.

The Fix

Digitize

• Mapped capacity and route options at machine level.
• Digitized work-order release with load checks.
• Captured queue and wait signals by stage.

Optimize

• Balanced work distribution using live load view.
• Reduced route-level bottlenecks with proactive scheduling.
• Tracked planned vs actual output by cell.

Scale

• Introduced AI-assisted load balancing recommendations.
• Automated capacity alerts for upcoming overload risk.
• Replicated planning logic across shifts and planners.

The Result

Before: Capacity planning was manual and uneven.

After: Workload balancing improved throughput and dispatch consistency.

Digitize what you have. Optimize what you can see. Scale what you have earned.