Automated Dispatching Solution
This project’s objective is to develop an Automated Dispatching System (ADS) aim to optimize the dispatching of task jobs for trucks, to quickly identify the shortest and most suitable path for each order assigned. In total, we present more than five distinct algorithms to address this challenge, including Dijkstra, Greedy, Brute-Force, and our own most optimized, “optimal solution”. The project's impact is notable for its enhanced capability to manage last-minute changes, such as urgent orders, and computationally exceptional performance with reduction of human-error risk. Therefore, implementation of this ADS in real-world would increase the percentage of in-time orders from 80% to 90% after the implementation, ensuring timely deliveries and maintaining high operational efficiency.
