Increased Production Throughput by AI-Driven Scheduling

Our client - a large company within the pharmaceutical industry - wished to increase throughput on one of their production lines. This specific line detailed a highly branched process that handled multiple different products, each with their own specific set of production rules. As such, it could not be efficiently modeled using standard linear scheduling software.

Using AI, mathematical optimization and constraint programming, our team modelled the production line including all product specific constraints. The developed optimization engine was paired with bespoke front- and backend solutions allowing for fast and flexible process scheduling.

Our client - a large company within the pharmaceutical industry - wished to increase throughput on one of their production lines. This specific line detailed a highly branched process that handled multiple different products, each with their own specific set of production rules. As such, it could not be efficiently modeled using standard linear scheduling software.

Using AI, mathematical optimization and constraint programming, our team modelled the production line including all product specific constraints. The developed optimization engine was paired with bespoke front- and backend solutions allowing for fast and flexible process scheduling.

Value for the client:

  • Optimized production line scheduling
  • Schedules created in seconds instead of hours or days
  • Significantly increased through-put
  • Immediate ROI

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