2021/04/18 by Meysam Mahjoob, Mahjoob, Meysam, Seyed Sajjad Fazeli +5 · 1 citation
Engineering · #FOS: Mathematics #Optimization and Control (math.OC) #Optimization and Packing Problems #Vehicle Routing Optimization Methods
paper · pdf · doi:10.48550/arxiv.2104.09031
openalex publication_date 2021/04/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Recent developments in urbanization and e-commerce have pushed businesses to\ndeploy efficient systems to decrease their supply chain cost. Vendor Managed\nInventory (VMI) is one of the most widely used strategies to effectively manage\nsupply chains with multiple parties. VMI implementation asks for solving the\nInventory Routing Problem (IRP). This study considers a multi-product\nmulti-period inventory routing problem, including a supplier, set of customers,\nand a fleet of heterogeneous vehicles. Due to the complex nature of the IRP, we\ndeveloped a Modified Adaptive Genetic Algorithm (MAGA) to solve a variety of\ninstances efficiently. As a benchmark, we considered the results obtained by\nCplex software and an efficient heuristic from the literature. Through\nextensive computational experiments on a set of randomly generated instances,\nand using different metrics, we show that our approach distinctly outperforms\nthe other two methods.\n