Simulation-Based Decision Support System for Cell Therapy Manufacturing and Supply Chain
Author(s)
Liu, Yi
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Abstract
Cell therapy is an emerging field in regenerative medicine that uses living cells to treat disease. The potential therapeutic benefit of cell therapy is creating a rapidly growing industry estimated to be a $55 billion global market by 2024. However, meeting this massive demand requires the development of novel tools and technology to solve the unique challenges facing the manufacturing of cell therapy. Compared with traditional biopharmaceutical manufacturing, cell therapy product manufacturing is considerably more challenging due to the greater complexity of working with living cell products. As a result, the cost of cell therapies remains unattainable for most patients, with a long lead time and low production capacity.
This Ph.D. thesis will describe the development and application of an agent-based simulation platform that can create digital representations of a single or multi-network of manufacturing facilities throughout a large region. The platform incorporates a customized manufacturing process for autologous products that are customized per patient, as well as a batch manufacturing process for allogeneic products. A set of case studies will be presented in the thesis to demonstrate how the platform enables manufacturers to devise system-level decisions to improve facility design, plan “what if” scenarios for unexpected disruptions, and address an unmet need for reducing costs, increasing speed, and improving yields for cell therapy production and distribution.
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Date
2021-05-06
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Dissertation