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

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 …

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 …

The three-dimensional bin packing problem (3D-BPP) plays a critical role in logistics
activities. Prior studies focus on 3D-BPP in cases where bin size is predetermined. However …

The load balance aspect of the Container Loading Problem (CLP) has been handled in an
simplified way in the literature. Either load balance has been treated as a soft constraint or …

The classical three-dimensional bin packing problem (3D-BPP) orthogonally packs a set of
rectangular items with varying dimensions into the minimum number of three-dimensional …

This paper addresses the Single Container Loading Problem. We present an exact
approach that considers the resolution of integer linear programming and constraint …

With the development of intelligent logistics technology, some companies began to use
robots instead of humans to load cargo. This paper studies a novel container loading …

Abstract The Container Loading Problem (CLP) literature has traditionally guaranteed cargo
static stability by imposing the full support constraint for the base of the box. Used as a proxy …

Abstract The Artificial Bee Colony (ABC) algorithm is widely used to achieve optimum
solution in a short time in integer-based optimization problems. However, the complexity of …