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 …

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 …

The 3-dimensional bin packing problem (3D-BPP) is not only fundamental in combinatorial
optimization but also widely applied in real world logistics. In the modern logistics industry …

We introduce a novel two-phase matheuristic for assignment and truck loading. The scope of
our approach involves scenarios with an extensive amount of items requiring assignment to …

In this paper, we present an integer linear programming model for the vehicle routing
problem that considers real‐world three‐dimensional (3D) loading constraints. In this …

Many combinatorial multiobjective optimization problems involve very costly-to-evaluate
objectives and constraints. It is very difficult, if not impossible, for traditional heuristics to …

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 …