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Translate pharma innovation into production faster

Bring new therapies to market faster without compromising quality, compliance or operational readiness. Simulate full-scale operations before startup, identifying risks early and resolving issues before they impact operations.

Turn investment into reliable production

The value of a new facility depends on how quickly it can produce and release the medicines it was built to make. Construction progress alone cannot establish that readiness. Unresolved process, control or utility questions can delay start-up and leave assets underused. Siemens connects process modeling, manufacturing simulation and engineering information to help teams test assumptions before installation and preserve development knowledge through technology transfer. Earlier answers can reduce redesign, repeated testing and commissioning effort. Carry that knowledge into operation so the site can adapt as products and production requirements change. Digital evidence supports readiness; commercial-scale qualification and process validation remain essential.

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Move faster with less risk

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Test the process before you scale

Confirm a process against the equipment that will run it, and simulate full-scale operations before startup, so issues are identified early and resolved before they affect production batches.

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Shorten the path from lab to patient

Catch issues early, through validation, reducing commissioning surprises and minimizing time spent resolving problems once the facility is built.

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Validate it before you build it

Model layouts, production flows and automation strategies in a virtual environment, enabling teams to validate operations before construction and startup.

Explore the path from lab to production

Scale up without the surprises

A process that behaves perfectly in the laboratory can behave differently in a production vessel, because as scale increases the underlying physicochemical behavior changes. Simulation reveals what's difficult or costly to capture experimentally, from molecular interactions and fluid flow to particle dynamics. GSK built a virtual replica of a vaccine process, testing production at every stage of development.

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Cleanroom professional operating digital systems for pharmaceutical and biotech manufacturing.

Match the process to the site before you commit

Before a recipe moves anywhere, a rules engine can query production equipment across every site and every line to understand the unit procedures and unit operations, following the ISA-88 structure. It compares what the recipe needs against what the equipment can do, returning a scored comparison and a recommendation for the site and lines best suited to produce it, with scale-up rules applied from the start.

Read our eBook
Siemens ebook manufacturability verification and optimization

Rehearse the plant before you build it

Layout configurations, process routes and production scenarios can all be tested in a dynamic 2D or 3D environment, with production schedules and recipes driving realistic behavior. Virtual commissioning then extends this, testing and optimizing production zones, robotics and automation systems in a virtual environment, which reduces integration risks and shortens deployment cycles.

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Connect what the lab learned to what the plant does

Data silos, a lack of cross-team alignment and tribal knowledge all slow the move from development to manufacturing, and it can take too long to transfer what the research team knows to the people who will make the product. A digital thread weaves knowledge from all stages of the product, process and production lifecycles instead.

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Female scientist working in pharmaceutical process development holding a glass test tube.