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 support decision-making in selecting truck. First-in-first-out (FIFO) and techniques were applied prioritize loading doors for trucks with the use of iterated local search (ILS) recommending route transport goods. Besides, an arrangement can be assigned door that meets specified conditions. The experimental results showed was able assign job under conditions close actual operation at similarity 0.80. In addition, application ILS suggested food planning most effective transportation best total distance.