Biopharmaceutical Process Optimization with Simulation and Scheduling Tools

Demetri Petrides, Doug Carmichael, Charles Siletti, Alexandros Koulouris

Bioengineering · 2014 · 67 citations · 6 references

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TL;DR

Biopharmaceutical process design varies by development stage, with early back‑of‑the‑envelope assessments followed by detailed design before facility construction, and engineers use process simulators, discrete‑event simulators, and scheduling tools to aid these analyses. The report outlines how process simulators, discrete‑event simulators, and scheduling tools support bioprocess development, design, and manufacturing, covering simulation purpose, detailed monoclonal antibody batch modeling, and multiproduct plant production planning. The report is organized into three sections that describe the use of process simulators, discrete‑event simulators, and scheduling tools for simulation purpose, detailed monoclonal antibody batch modeling, and multiproduct plant production planning.

Abstract

Design and assessment activities associated with a biopharmaceutical process are performed at different levels of detail, based on the stage of development that the product is in. Preliminary “back-of-the envelope” assessments are performed early in the development lifecycle, whereas detailed design and evaluation are performed prior to the construction of a new facility. Both the preliminary and detailed design of integrated biopharmaceutical processes can be greatly assisted by the use of process simulators, discrete event simulators or finite capacity scheduling tools. This report describes the use of such tools for bioprocess development, design, and manufacturing. The report is divided into three sections. Section One provides introductory information and explains the purpose of bioprocess simulation. Section Two focuses on the detailed modeling of a single batch bioprocess that represents the manufacturing of a therapeutic monoclonal antibody (MAb). This type of analysis is typically performed by engineers engaged in the development and optimization of such processes. Section Three focuses on production planning and scheduling models for multiproduct plants.

References

6