A transportation scheduling management system using decision tree and iterated local search techniques

This paper aimed to develop a delivery truck scheduling management system using decision tree to support decision-making in selecting a delivery truck. First-in-first-out (FIFO) and decision tree techniques were applied to prioritize loading doors for delivery trucks with the use of Iterated Local Search (ILS) in recommending the route for the transport of goods. Besides, an arrangement of loading door can be assigned to the door that meets the specified conditions. The experimental results showed that the system was able to assign the job to a delivery truck under the specified conditions that were close to the actual operation at a similarity of 0.80. In addition, the application of ILS suggested the route of the food delivery truck in planning the most effective transportation route with the best total distance.