Green development of the maritime industry: Overview, perspectives, and future research opportunities

T Wang, P Cheng, L Zhen - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime industry is the artery of the global economy since it carries around 90% of the
volume of global trade. However, the fierce environmental problems associated with human …

[HTML][HTML] The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions

R Raeesi, N Sahebjamnia, SA Mansouri - European Journal of Operational …, 2023 - Elsevier
Abstract Container Terminals (CTs) are continuously presented with highly interrelated,
complex, and uncertain planning tasks. The ever-increasing intensity of operations at CTs in …

A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions

MA Dulebenets - Swarm and Evolutionary Computation, 2023 - Elsevier
The economic development of numerous countries is defined by maritime supply chains to a
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …

Port integrated scheduling under uncertain operation time and cascade effects: A complex network structure entropy solution

L Cai, W Guo, L He, W Li - Computers & Industrial Engineering, 2023 - Elsevier
The integrated scheduling of quay cranes, yard cranes, and internal vehicles in a port allows
for further optimization of resource allocation on a global scale. Since the scheduling objects …

A novel multi-attention reinforcement learning for the scheduling of unmanned shipment vessels (USV) in automated container terminals

J Zhu, W Zhang, L Yu, X Guo - Omega, 2024 - Elsevier
To improve the operating efficiency of container terminals, we investigate a closed-loop
scheduling method in an autonomous inter-terminal system that employs unmanned …

Data-driven robust optimization for contextual vehicle rebalancing in on-demand ride services under demand uncertainty

Z Guo, B Yu, W Shan, B Yao - Transportation Research Part C: Emerging …, 2023 - Elsevier
The rebalancing of idle vehicles is critical to mitigating the supply–demand imbalance in on-
demand ride services. Motivated by a ride service platform, this paper investigates a short …

Incorporation of energy-consumption optimization into multi-objective and robust port multi-equipment integrated scheduling

L Cai, W Li, H Li, B Zhou, L He, W Guo… - … Research Part C …, 2024 - Elsevier
Port operational efficiency and energy consumption are pivotal, but sometimes contradictory
factors influencing its competitiveness. In light of this, the simultaneous optimization of these …

[HTML][HTML] Optimization of integrated scheduling of restricted channels, berths, and yards in bulk cargo ports considering carbon emissions

X Jiang, M Zhong, J Shi, W Li - Expert Systems with Applications, 2024 - Elsevier
In recent years, the demand for dry bulk cargo trade has increased, and the scheduling
pressure on bulk cargo ports is increasing daily. The most effective and cost-effective way to …

An enhanced variable neighborhood search method for refrigerated container stacking and relocation problem with duplicate priorities

W Wang, H Liu, Q Tian, Z Xia, S Liu, Y Peng - Transportation Research Part …, 2024 - Elsevier
Due to the stringent timeliness requirements of temperature-controlled cargoes and
distinctive storage operations of refrigerated container (RC), it is imperative to optimize the …

Quay crane and yard truck dual-cycle scheduling with mixed storage strategy

S Zhu, Z Tan, Z Yang, L Cai - Advanced Engineering Informatics, 2022 - Elsevier
In order to enhance the efficiency of port operations, the scheduling problem of the quay
cranes and yard trucks is crucial. Conventional port operation mode lacks optimization …