Modelling of Logistics Monitoring System for Milk Collection Based on Swarm Intelligence
Over the last 30 years, the milk processing process has shifted from the farm to the centralized cheese factory, which has had an impact on the management of transport logistics. In Morocco, several dairy units are located in rural areas with a poor road network, which means that milk collection has a significant impact on profit, affecting milk transport costs. The objective of this work is to develop a decision support tool based on internet of things technologies to optimize milk collection routes, reduce the cost of milk transport, and improve collection density. The tool developed in this study is based on a SIG system and farm milk volumes to estimate the cost per liter of milk for the regular route and to recalculate the same cost for the optimized collection route, combined with IoT technology to ensure the communication process between dairy farms, trucks, and dairy plants.