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  6. gPROMS Bio Series / Challenging productivity improvement with existing equipment

gPROMS Bio Series / Challenging productivity improvement with existing equipment

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gPROMS Bio Series

last updated:Feb 21, 2024

シーメンス株式会社  gPROMS ポートフォリオ
シーメンス株式会社 gPROMS ポートフォリオ
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Accelerating further development with digital twins of bioprocesses! There are presentation materials from pharmaceutical, pesticide, and chemical manufacturers.

In the future, in the expanding bio market, why not challenge yourself to improve productivity using the power of software while keeping your existing equipment as is? What products can be created by maximizing the functionality of existing equipment? While satisfying your curiosity about particle size, production volume, and more, we contribute to "reducing development time and costs." By visualizing phenomena that were previously invisible through numbers and graphs, you can deepen your understanding of bioprocesses. <Effects> * Reduction in the number of experiments with the latest modeling features * Shortening of development time through early determination of design space (with validation features) * Risk management during continuous production and scale-up * Optimization of batch crystallization recipes * Monitoring of product quality through digital twins Siemens PSE's bio-related library models (also possible to create digital twins) ■ Bioreactor ■ Fermentation tank ■ Chromatography ■ Filtration ■ Freeze-drying * For more details, please download the PDF, and feel free to reach out if you have any questions.

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gPROMS Bio Series / Challenging productivity improvement with existing equipment

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  • Related Link - https://www.psenterprise.com/sectors/biopharmaceut…

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Used by pharmaceutical, pesticide, and chemical manufacturers. Please inquire about the materials you need. * Reduction in the number of experiments with the latest modeling features * Shortened development time through early determination of design space (with validation features) * Risk management during continuous production and scale-up * Recipe optimization for batch crystallization * Monitoring of product quality through digital twins

catalog(13)

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Company Overview Siemens Process Systems Engineering

Company Overview Siemens Process Systems Engineering

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Modeling tool for solid and powder processes: 'gPROMS FormulatedProducts'

Modeling tool for solid and powder processes: 'gPROMS FormulatedProducts'

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Digital Twin Adaptation gPROMS Reactor

Digital Twin Adaptation gPROMS Reactor

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Catalytic reactor reaction modeling support

Catalytic reactor reaction modeling support

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Virtual Manufacturing Pharmaceutical Simulation Software

Virtual Manufacturing Pharmaceutical Simulation Software

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Digital Twin of Continuous Direct Hit Process (AstraZeneca)

Digital Twin of Continuous Direct Hit Process (AstraZeneca)

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Spray Drying Spray Dryer Model

Spray Drying Spray Dryer Model

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【Technical Information】Latest Model-Based Approaches for Building IVIVC of Poorly Soluble Drugs for Oral Absorption

【Technical Information】Latest Model-Based Approaches for Building IVIVC of Poorly Soluble Drugs for Oral Absorption

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Introduction to Pharmaceutical Modeling Integration Software

Introduction to Pharmaceutical Modeling Integration Software

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Technical Documentation: Optimal Design and Control of Continuous Processes

Technical Documentation: Optimal Design and Control of Continuous Processes

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Bioprocess Digital Twin

Bioprocess Digital Twin

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Digital Twin of Bioreactor - Towards QbD Development...

Digital Twin of Bioreactor - Towards QbD Development...

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Examples of Accelerating SDGs Promotion through DX: Powdered Milk Production Process Using Spray Dryer (Danone)

Examples of Accelerating SDGs Promotion through DX: Powdered Milk Production Process Using Spray Dryer (Danone)

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シーメンス株式会社

シーメンス株式会社 gPROMS ポートフォリオ

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Founded in 1997 by the gPROMS development team at Imperial College London, PSE became part of the Siemens Group in 2019 and has been providing products and services in Japan as Siemens Corporation since 2023. gPROMS features a powerful equation-based computation engine that differs from traditional simulators, allowing for seamless handling of both steady-state and dynamic simulations. This enables the effective scaling up of models adjusted with experimental data from batch processing for the design and operational optimization of continuous processing plants. With gPROMS's excellent capabilities in custom modeling, parameter estimation, and optimization, it is possible to quickly build optimal manufacturing processes, resolve issues, and achieve optimization.

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