Optimizing the supply chain has been no easy task. Success entails making decisions on the firm’s supply, production, inventory, and logistics functions, all in the real world where demand is not fixed, suppliers are not infinite, and disturbances are not rare. Conventional optimization approaches are suitable for steady-state scenarios but fail in dynamic and complex environments.
AI and CP are the technologies that are changing the way of supply chain management and enabling organizations to build adaptive, efficient and resilient supply networks. However, in this article I will explain how AI constraint programming works, the how of it, and how AI professionals can develop high-level applications using it.