Abstract Three-Dimensional Packing Problems (3D-PPs) can be applied to effectively
reduce logistics costs in various areas, such as airline cargo management and warehouse …

This paper aims to solve the large-scale heterogeneous container loading problem (HCLP),
which is an extensive form of the multiple container loading problem, in a limited time. The …

We consider a real-world packing problem faced by a logistics company that loads and
ships hundreds of trucks every day. For each shipment, the cargo has to be selected from a …

Global logistics are increasingly important owing to shifting paradigm by strategically
focusing on core competences, outsourcing manufacturing to pursue higher value …

The bin packing problem is a classical problem widely existing in practical applications,
such as shipping, warehousing and manufacturing industries. Whereas current research …

This paper presents a Large Neighbourhood Search (LNS) algorithm that finds an effective
packing of a set of items into containers. The aim of the LNS algorithm is to provide packing …

The container loading problem (CLP) intends to arrange a set of boxes into a container by
considering different aspects, such as the dimension and weight of the box, capacity of the …

In this article, a new deep Reinforcement Learning (RL) model is proposed to solve the
Single Container Loading Problem (SCLP) as well as the SCLP with full support. For that …

With the growing demand for sustainable and optimal packaging solutions, this study
proposes a novel two-stage algorithm for the multi-container three-dimensional bin packing …

Bio-based waste valorization is one of the current trends in municipal waste management. It
decreases the amount of waste to be disposed of, reduces the sourcing of limited chemical …