A robust opportunistic routing for high complex decentralized controlled distribution center

High complex decentralized controlled distribution centers are depending on the throughput to increase the service level to fulfill the customer needs in transportation in the supply chain. Decentralized control gives the ability in increased scalability in system structure to react on changes in the market with changes in the conveyor system, to handle new goods or increase the overall throughput. But decentralized systems lack in the capability in decision making by no global state knowledge and dependency on local. Furthermore, high complex distribution centers are designed to work almost at their maximum capabilities which makes routing critical due to deadlocks. Therefore, a generalized routing method is introduced based on opportunistic routing in partial path finding able to find a suitable routing path during runtime considering the dynamic behavior of the container through the system.