MANAGING DYNAMICALLY ADAPTIVE SUPPLY NETWORK AND SYSTEM THEREFOR

This disclosure relates generally to system and method for managing dynamically adaptive supply network. The method includes simulating, by an exogenous model, the supply network in an analytical modeling language using at least a data populated from the supply network through a sensory data processing framework. The exogenous model provides a plurality of candidate analytical solutions corresponding to an event condition associated with the supply network based on the simulation. Corresponding to the event condition in a global context of the supply network, a satisfiable solution is identified. An endogenous model corresponding to the supply network is modified based on the satisfiable solution to obtain a modified endogenous model. The modified endogenous model is transformed into a programming language to obtain an updated endogenous model. The supply network is modified as directed by the updated endogenous model.