As they industry has grown, the biopharmaceutical industry has also begun to focus on cost efficient in the production. Chromatography purification in the downstream process, as the protein A resin exchange being the costliest step, has drawn attention from researchers to evaluate the possibility to re-use it. The production of a biopharmaceutical product is complicated due to the uncertainty involved in many steps. This thesis aims at providing an Infinite horizon Markov Decision Process simulation to model the uncertainty in fermentation and resin decay, providing an operational guideline in the production decision makings. Sensitivity analysis and other potential resin decay model are discussed to provide managerial insight for financial and yield trade-offs. However, the model also poses more room for future life science studies to improve the model accuracy.     «

As they industry has grown, the biopharmaceutical industry has also begun to focus on cost efficient in the production. Chromatography purification in the downstream process, as the protein A resin exchange being the costliest step, has drawn attention from researchers to evaluate the possibility to re-use it. The production of a biopharmaceutical product is complicated due to the uncertainty involved in many steps. This thesis aims at providing an Infinite horizon Markov Decision Process simula...     »