Ports are pivotal nodes in supply chain and transportation networks, in which most of the
existing data remain underutilized. Machine learning methods are versatile tools to utilize …

Abstract Container Terminals (CTs) are continuously presented with highly interrelated,
complex, and uncertain planning tasks. The ever-increasing intensity of operations at CTs in …

In a dual transaction at a marine terminal, an external truck drops off one container and picks
up another on a single trip. To ensure a successful dual transaction operation and smooth …

In this paper we present an ant colony optimization (ACO) algorithm for the Blocks
Relocation Problem (BRP). The method is applied to both versions of the problem most …

Abstract Space allocation problem (SAP) in container terminals is one of the yard
management challenges in short-term planning, however, the impact of container reshuffling …

The container relocation problem is a challenging combinatorial optimisation problem
tasked with finding a sequence of container relocations required to retrieve all containers by …

Prefabrication is a promising construction method that helps to improve overall productivity,
reduce the environmental impact, and improve on-site safety and security. To accelerate the …

The purpose of this study is to propose an exact algorithm for the unrestricted block
relocation problem with distinct priorities. In this problem, a storage area is considered …

Motivated by the practical import free-flow program that aims to expedite the container
retrieval process, we conceptualize a new container stacking strategy, termed Smart …

In recent years the maritime freight transport has rapidly increased, causing congestion in
many port areas. In some cases, in order to improve the capacity and the reliability of the …