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.

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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.

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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.

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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.

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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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