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WHITEPAPER

Lot sizing in clinical trials manufacturing can save more than you think!

Testing different lot size scenarios can reduce manufacturing costs and drug waste. We explain how using real-world examples in this resource.

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data-silos

Fixed lot sizes are a
problem

Treating lot sizes as fixed quantities results in high costs and unnecessary waste. When planners gain the ability to test different lot sizes, they can…

  • Adjust API/DS manufacturing strategy to deliver products when studies need it
  • Strategically manufacture smaller lots to reduce DP and IMP waste
  • Scale manufacturing to meet actual trial demand
manufacturing-costs

Case study: Optimizing lot
sizes saves 10.5M€

When N-SIDE optimized lot sizes for one top pharmaceutical company, they realized 10.5M€ in savings from reduced manufacturing costs (an 11% decrease). Download the whitepaper for details.