Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm

One most important and critical problem in a cross-docking system is truck scheduling. Many studies it assumed that the temporary storage unlimited which real world, limited. focus on minimizing total completion time. Meanwhile, are hard to find, although this aspect very important. Due its complexity, especially with multiproduct characteristics, manual scheduling almost impossible achieve goals. used several techniques, such as genetic algorithm (GA) mixed integer programming where these methods computationally expensive. Based problem, work, we propose new model terminal limited constraint. This developed by using multi-agent system. The main contribution of work proposing multi-agent-based capacity constraint changeover permit. In it, there three agents: inbound-trucks scheduler agent, outbound-trucks material handler agent. shortest remaining time (SRT) adopted every simulation result, proposed proven competitive compared existing FIFO based models integer-programming model. Compared model, creates 41.8 percent lower maximum inventory level. 52.1 55.1 aspect, 0.2 2.2 than It 7.2 higher