Container loading is a pivotal function for operating supply chains efficiently.
Underperformance results in unnecessary costs (eg cost of additional containers to be …

Three‐dimensional cutting and packing problems have a range of important applications
and are of particular relevance to the transportation of cargo in the form of container loading …

Mathematical models for the problem of loading rectangular boxes into containers, trucks or
railway cars have been proposed in the literature, however, there is a lack of studies which …

This paper proposes a practical robotic packing system to automate packing heterogeneous
carton boxes into pallets, which is still handled manually in many distribution centers. The …

We introduce a new variant of Bin Packing Problem (BPP) called the Circular Bin Packing
Problem with Rectangular Items (CBPP-RI). CBPP-RI involves the dense orthogonal …

This paper seeks to tackle the bin packing problem (BPP) through a learning perspective.
Building on self-attention-based encoding and deep reinforcement learning algorithms, we …

The container loading problem, which is significant for a number of industrial sectors, aims to
obtain a high space utilisation in the container while satisfying practical constraints. This …

This paper addresses the container loading problem with multiple constraints that occur at
many manufacturing sites, such as furniture factories, appliances factories, and kitchenware …

The current global interest in improving the use of ever-scarcer natural resources calls for
the re-alignment of supply chain operations to include not only economic factors, but …

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 …