Designing a Discrete Simulation Model for Disaster Impact Area Mapping Routes Using a Combination of Land Vehicles and Drones

Floods are Indonesia's most frequent natural disasters, necessitating disaster management activities. This involves mapping disaster-affected areas using a combination of land vehicles and drones. This study implements discrete simulations to address the numerous uncertain variables affecting the mapping process. Uncertainty such as setup time, traveling time of land vehicle & drones, and mapping time are considered. Existing simulation model for mapping disaster-affected areas with the same case study, reported that without the influence of those uncertain factors, the total mapping operation can be done within ping operation can be done within 24 hours utilizing 3 land vehicles and two drone routes at each stopping point of the land vehicles. However, utilizing the proposed model enables further detailed analysis on how uncertainty factors can affect the solution. The goals of the study is to find a shorter operation time using simulation and determine the most efficient resources needed to accomplish that. The result of this simulation reporting that the mapping operation can be shortened to be done in 16 hours however using more resources. The configuration applied in the simulation were able to minimize drone mapping time and determine the optimal number of land vehicles for the determined operation time.