SYSTEM AND METHOD FOR CONCURRENT DYNAMIC OPTIMIZATION OF REPLENISHMENT DECISION IN NETWORKED NODE ENVIRONMENT

摘要

This disclosure provides a system and method for concurrent dynamic optimization of replenishment decision in networked node environment by at least one of receiving, at least one current state attribute associated with the networked node environment at a predetermined time interval; obtaining, an optimized entity actionable matrix by mapping the at least one of current state attribute and an associated actionable entity; computing, a predictive replenishment matrix for an impending cycle of the networked node environment based on the optimized entity actionable matrix; identifying, a reward function for the predictive replenishment matrix; and determining, the replenishment suggestive actionable element based on the reward function. The reward function includes a computation of overall cost with regard to a realized revenue associated with aggregation of the plurality of nodes.