Constrained-optimization in a 3D bin packing realistic problem

This article describes the implementation of a new approach in 3D bin packing optimization and tests its performance in different scenarios. It takes into consideration most of the real constraints a logistics company may face when loading cargo and produces several feasible solutions for a system or a human operator to choose from. As a result of the wide range of constraints the algorithm can handle, it is highly customizable and adaptable to different kinds of companies with different interests and procedures. Optimizing bin packing within the current fast-paced supply chain reduces complexity left to humans, decreases costs and frequency in problems that may damage the customer experience and helps to minimise traffic and carbon emissions by maximizing volume utilization.