Developing Multi-Agent Systems Using Agent-Based and Geographic Information System Simulation

One of the problems that resulted in the supply chain of durian was the arriving time of the product to costumer. If the product not delivered at the right time, the quality of the product will decrease. Due to this situation, the optimization of the logistics process is an essential aspect of operations in the supply chain system of durian. To estimate how long the product will arrive to the consumer can be obtained by performing a real system simulation and a software-based digital system. With the help of AnyLogic software, we model logistics process optimization based on discrete systems and agent-based Geographic Information System (GIS) simulations. The simulation produces a visualization of a real process model of the durian supply chain logistics, order time estimation, and supplier utility in durian distribution in North Sumatra province. Estimating model shows the estimated time of the order from the farm to the distributor location in Berastagi of 2.43 hours, Padang Bulan Medan 4.50 hours, Pematang Siantar 3.58 hours, Tebing Tinggi 4.33 hours, and Binjai 4.75 hours.