PharmaPy: An object-oriented tool for the development of hybrid pharmaceutical flowsheets

Area of Science:

• Chemical Engineering
• Process Systems Engineering
• Computational Modeling

Background:

• Traditional chemical process simulation tools are insufficient for complex pharmaceutical manufacturing.
• Developing advanced digital design and optimization platforms is crucial for the pharmaceutical industry.

Purpose of the Study:

• Introduce PharmaPy, a novel Python-based modeling platform tailored for pharmaceutical manufacturing.
• Demonstrate the platform's capability in simulating and optimizing both continuous and batch pharmaceutical processes.

Main Methods:

• Development of a versatile Python-based modeling platform, PharmaPy.
• Application of PharmaPy to simulate and optimize pharmaceutical manufacturing systems.
• Illustrative examples showcasing the platform's key features and framework.

Main Results:

• PharmaPy provides a flexible framework for pharmaceutical process design and optimization.
• The platform effectively handles both continuous and batch processing simulations.
• Key features and framework of PharmaPy are presented through practical examples.

Conclusions:

• PharmaPy offers a powerful and adaptable solution for pharmaceutical manufacturing systems engineering.
• The platform addresses the need for specialized tools in pharmaceutical process design and optimization.
• PharmaPy is poised to advance computational challenges in pharmaceutical manufacturing.