Development of an Algorithm based on the Optimization of space, time and resources of the warehouse using Genetic Algorithms

Abstract

The warehouse is often the starting point in a supply chain. Ineffectiveness at a warehouse can cascade into the rest of the supply chain, hurting the customers' experience with the business in the long run. Warehouse Optimization System (WOS) play a crucial role in resolving a significant market issue by optimizing warehouse space and logistical procedures, documenting merchant supply and demand patterns, and making it simpler to handle goods that are about to expire, are out of stock, are broken, or have been abandoned by customers. This issue relates to space and storage in the warehouse, due to the fact that business intelligence, which may include algorithms for anticipating sales and managing warehouse capacity, may be connected to warehouse optimization systems. A case study is described in research of a warehouse optimization system, followed by a demonstration of the problem of gaps within the racks of warehouses. The algorithm solves the problem of fitting boxes with varying dimensions into racks. By using automation and careful design, warehouse optimization increases the effectiveness of how time, space, and resources are used in a warehouse, which enhances customer satisfaction.