Application of Artificial Intelligence Algorithm in Relay Protection of Distribution Network

Abstract

A distribution network in supply chain management increases product reachability and handling density across different warehouses and customers. Relays in the distribution network prevent congestion, supply stagnancy, and delayed deliveries. Protecting the relay functions and streamlining them are tedious due to the varying vehicle and goods densities. This article introduces a populous relay management scheme (PRMS) for multi-access in delivery networks to address the problem above. The proposed scheme relies on vehicle and goods movement frequency for improving the relay utilization without congestion. These features are analyzed for the stagnancy and dispatch priority in maximizing the goods delivery. The conventional back propagation network is employed for identifying stagnancy and relay population (congestion) for distributed delivery assignments. The back propagation process identifies the prioritized tasks for preventing delivery delays and reducing congestion through priority segregation. This enhances the least to large-good migration with controlled delay and rapid migration, reducing congestion.