You can receive training on our software gPROMS FormulatedProducts at your home.
Self-study materials for gPROMS Formulated Products are available, including crystallization, bioprocessing, continuous direct compression, drying granulation, spray drying, tablet manufacturing, oral absorption, and more. For details, please check the following website. https://assets.new.siemens.com/siemens/assets/api/uuid:4ccd210d-31cb-418c-afac-8cd32d93977f/gPROMS-FormulatedProducts-self-paced-resources-catalog.pdf
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basic information
To use the teaching materials, you need to register your name. Please register via the website. https://www.siemens.com/global/en/products/automation/industry-software/gproms-digital-process-design-and-operations/training-and-knowledge-transfer.html The registration process will be handled at our headquarters, so it will take about 5 to 10 days. (Please note that free email accounts and registrations from competing companies cannot be accepted.) *** We also regularly conduct training sessions in our company’s conference room. *** For details, click here: https://premium.ipros.jp/psenterprise/product/detail/2000406086/?hub=163&categoryId=48838
Price information
Free
Delivery Time
P1
Applications/Examples of results
Would you like to enhance your modeling expertise? Once you register, you can use it anytime.
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Company information
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.