Optimizing Logistics System Monitoring with FIFO Method Using Intelligent System

Abstract

Efficient and well-organized logistics systems are crucial for maintaining operational smoothness and customer satisfaction. In this research, we delve into the optimization of logistics system monitoring using the First-In, First-Out (FIFO) method based on smart system technology. The FIFO method has become a widely used approach in inventory management and product distribution. However, achieving optimal FIFO implementation can be challenging due to demand fluctuations and changing priorities.  In the proposed optimization method, we integrate data analysis and artificial intelligence to enhance the utilization of the FIFO method in logistics system monitoring. This method gathers real-time data on inventory levels, customer demands, and resource availability. Employing intelligent algorithms, the method analyzes data to identify demand trends, predict future inventory needs, and optimize the sequence of product deliveries using the FIFO method. The conducted tests indicate that this optimization method successfully improves delivery efficiency and reduces operational costs within the logistics system. Moreover, the method can adapt to real-time changes in demand and priorities, enhancing flexibility and responsiveness in logistics system monitoring. This research makes a significant contribution to the development of more efficient and intelligent logistics monitoring systems