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 …

Simulated annealing is a stochastic local search method, initially introduced for global
combinatorial mono‐objective optimisation problems, allowing gradual convergence to a …

In this paper, we present a combined forecasting and optimization decision-support tool to
assist air cargo revenue management departments in the acceptance/rejection process of …

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 …

This paper presents a hybrid algorithm to solve container loading problems in which the aim
is to load a set of rectangular items (boxes) into a single rectangular large object (container) …

In this work we deal with a biobjective variant of the single container loading problem. The
problem consists in packing a set of boxes into a large box or container. In addition to the …

The ongoing container shortage crisis has presented significant challenges for the freight
forwarding industry, requiring companies to implement adaptive measures in order to …

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 …

With the rapid growth of international container transportation and the development trend of
large-scale ships, there are deficiencies in ship utilization and transportation economy. More …