Berth Allocation and Quay Crane Scheduling in Port Operations: A Systematic Review
Container terminals are facing significant challenges in meeting the increasing demands for volume and throughput, with limited space often presenting as a critical constraint.
Ndifelani Makhado +3 more
doaj +1 more source
Models for the discrete berth allocation problem: A computational comparison
In this paper we consider the problem of allocating arriving ships to discrete berth locations at container terminals. This problem is recognized as one of the most important processes for any container terminal.
Lusby, Richard +4 more
core
The dynamic berth allocation problem for a container port
This paper addresses the problem of determining a dynamic berth assignment to ships in the public berth system. While the public berth system may not be suitable for most container ports in major countries, it is desired for higher cost-effectiveness in ...
Nishimura, Etsuko +2 more
core
Emerging technology and management research in the container terminals: Trends and the COVID-19 pandemic impacts. [PDF]
Zhou C +4 more
europepmc +1 more source
Tests, Results and Codes of the paper "A Mathematical Model for the Berth Allocation Problem with Variable Service Time and Continuous Time Horizon"
Hönigmann Cereser, B
core +2 more sources
Variable Neighborhood Search for Multi-Port Berth Allocation with Vessel Speed Optimization
This paper delves into the multi-port berth allocation problem (MBAP), enriching the traditional berth allocation problem (BAP) with vessel speed optimization (VSO).
Yalong Song, Bin Ji, Samson S. Yu
doaj +1 more source
Computational Logistics for Container Terminal Handling Systems with Deep Learning. [PDF]
Li B, He Y.
europepmc +1 more source
An Attention Mechanism Oriented Hybrid CNN-RNN Deep Learning Architecture of Container Terminal Liner Handling Conditions Prediction. [PDF]
Li B, He Y.
europepmc +1 more source
Vessel Scheduling Optimization Model Based on Variable Speed in a Seaport with One-Way Navigation Channel. [PDF]
Liu D, Shi G, Hirayama K.
europepmc +1 more source
Optimization of heterogeneous vehicle logistics scheduling with multi-objectives and multi-centers. [PDF]
He Z, Zhang M, Chen Q, Chen S, Pan N.
europepmc +1 more source

