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With increasing interest in adaptive clinical trial designs, challenges arepresent to drug supply chain management which may offset the benefit ofadaptive designs. Thus, it is necessary to develop an optimization tool tofacilitate the decision making and analysis of drug supply chain planning. Thechallenges include the uncertainty of maximum drug supply needed, the shiftingof supply requirement, and rapid availability of new supply at decision points.In this paper, statistical simulations are designed to optimize the pre-studymedication supply strategy and monitor ongoing drug supply using real-time datacollected with the progress of study. Particle swarm algorithm is applied whenperforming optimization, where feature extraction is implemented to reducedimensionality and save computational cost.

Drug Supply Chain Optimization for Adaptive Clinical Trials