Aerospace
Production
Optimization

Transforming industrial planning to handle production ramp-ups

Mathematical optimization of industrial schedules to reduce lead time, absorb production ramp-ups, and improve On-Time Delivery.

INDUSTRIE
Aerospace
METIER
Production
TECHNOLOGIE
Optimization

Contexte

The assembly planning for the A320 and A350 programs is a major capacity challenge for Airbus. With a full order book for the next decade, ensuring On-Time Delivery (OTD) is critical. The goal is to accelerate production cycles while maximizing the utilization of equipment (FAL) and assembly teams.

Solution

We have designed an advanced mathematical optimization engine to drive industrial scheduling. This solution generates optimized schedules that maximize resource utilization under customer constraints. The tool offers unprecedented flexibility to recalculate schedules in the face of disruptions, thereby reducing manufacturing Lead Time and making final deliveries more reliable.

-10%
average reduction in production cycles
+15%
increase in production capacity
+20%
improvement in delivery reliability

Bénéfices

  • Average gain of several months on the overall customer delivery backlog
  • Maximizing profitability of production lines by reducing wait times
  • Strengthening competitiveness of the group in the face of global demand
Houcem
Responsable Technique

"The main challenge was modeling the complexity of industrial dependencies over long cycles. We overcame this by integrating powerful mathematical solvers capable of recalculating schedules in real time. This agility now allows teams to react instantly to unforeseen issues on the assembly line."

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