Balancing Risk and Costs to Optimize the Clinical Supply Chain ( WEBCSCHAIN )
With increasing pressure to accelerate drug development and minimize associated costs, it has become critical for pharmaceutical companies to optimize the clinical supply chain. Various tools have been developed to improve forecasts of medication requirements, some of them based on Monte Carlo simulation techniques.
This innovative approach utilizes simulation and optimization to minimize risk and costs in the clinical supply chain, and introduces for the first time the application of the Bayesian principle in this context to leverage actual data and re-adjust supply strategies over time.
At the conclusion of this session, participants will be able to: