Optimal production of biopharmaceutical manufacturing

Optimization-based decision-making tools, especially the models based on the mathematical programming techniques, have broad applications in the biopharmaceutical manufacturing, including planning and scheduling, and design and synthesis of purification processes. This chapter focuses on the mathematical programming decision frameworks for the optimal process and equipment design of the biopharmaceutical manufacturing processes, especially for the production of a monoclonal antibody (mAb). A number of literature deterministic and stochastic optimization models for the optimal manufacturing strategies, including upstream bioreactor sizing decisions and downstream chromatography sequencing and sizing decisions, are reviewed in this chapter. Later, extending the literature models, an optimization model is developed to incorporate the purity requirements, and a multiobjective optimization problem is investigated. The new models are tested by application on an industrially relevant case study.