(442d) Enabling Precision Healthcare through Patient-Centric Supply Chain Networks
Contrary to batch produced pharmaceuticals, CAR T cell therapies are characterized by the unique feature of a 1:1 manufacturing and distribution model. This is translated into manufacturing and supply chain networks designed and occupied for the production of a single therapy. As a result, and due to their autologous nature, scale-up is replaced by scale-out in this case, posing hurdles to the design of robust and responsive networks. Moreover, such therapeutics require sensitive handling during transport and are characterized by short shelf lives that accompany transport and storage decisions .
In this work, we showcase a Mixed Integer Linear Programming (MILP) problem developed for the performance assessment of candidate supply chain networks based on a cost-benefit analysis. The suggested models investigate various supply chain configurations of different echelon complexity under demand uncertainty. Additionally, we introduce for the first time the concept of a âdynamicâ supply chain network that is versatile and responsive to the increasing demand as manufacturers move from clinical trials to commercialization. The generated solutions are assessed with respect to: (a) cost effectiveness, (b) scalability and (c) responsiveness with respect to patient schedule. Lastly, the trade-off between cost-efficiency and responsiveness is examined and discussed.
Funding from the UK Engineering & Physical Sciences Research Council (EPSRC) for the Future Targeted Healthcare Manufacturing Hub hosted at University College London with UK university partners is gratefully acknowledged (Grant Reference: EP/P006485/1). Financial and in-kind support from the consortium of industrial users and sector organisations is also acknowledged.
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