Results 51 to 60 of about 62,862 (247)

An Adaptive Large Neighborhood Search Algorithm for Equipment Scheduling in the Railway Yard of an Automated Container Terminal

Journal of Marine Science and Engineering
In container sea–rail combined transport, the railway yard in an automated container terminal (RYACT) is the link in the whole logistics transportation process, and its operation and scheduling efficiency directly affect the efficiency of logistics.
Hongbin Chen, Wei Liu
semanticscholar   +1 more source

Stakeholders’ attitudes toward container terminal automation

Maritime Economics & Logistics
Abstract This study examines stakeholders' attitudes toward container terminal automation, aiming to place terminal automation as an innovation trajectory in the broader context of stakeholder relations management. Detailing first how the stakeholder environment plays a crucial role in shaping the path toward adopting innovation, the ...
Notteboom, Theo, Pallis, Athanasios A., Knatz, Geraldine   +2 more
openaire   +2 more sources

AUTOMATIC TRANSHIPMENT SYSTEMS FOR CONTAINER TRANSPORT IN TERMINALS

Perner’s Contacts, 2011
In automated container terminals, containers are transported from the marshalling yard to a ship and vice versa by Automated Guided Vehicles (AGV). In the blocks operate the Automatic Stacking Cranes (ASC).
Jaromír Široký
doaj  

Simulation and Optimization of Automated Guided Vehicle Charging Strategy for U-Shaped Automated Container Terminal Based on Improved Proximal Policy Optimization

Syst.
As the decarbonization strategies of automated container terminals (ACTs) continue to advance, electrically powered Battery-Automated Guided Vehicles (B-AGVs) are being widely adopted in ACTs.
Yongsheng Yang, Jianyi Liang, Junkai Feng   +2 more
semanticscholar   +1 more source

Dynamic AGV-Container Job Deployment Strategy [PDF]

, 2002
Automated Guided Vehicles (AGVs) are now becoming popular in container-handling applications at seaport. Efficacy of the dispatching strategy adopted to deploy AGVs is a prime factor affecting the performance of the entire system.
Sen, Hock Chan
core  

UAV Path Planning for Container Terminal Yard Inspection in a Port Environment

Journal of Marine Science and Engineering
Container terminal yards are automated terminal yards. The rail-mounted gantry crane (RMGC) and rail-mounted gantry crane tracks (RMGCTs) that frequently operate in terminal yards need to be inspected regularly to ensure the safe operation of container ...
Gang Tang, Chenyuan Wang, Zhao Zhang, Shaoyang Men   +3 more
doaj   +1 more source

Container batch grouping for automated container terminals

Maritime Business Review
Purpose In automated container terminals, mutual waiting between yard cranes (YCs) and automated guided vehicles (AGVs) causes resource wastage, extended task execution times and traffic congestion. This study proposes a strategy called batch grouping, which classifies containers by size, weight and destination for ...
Lijun Yue, Jasmine Siu Lee Lam
openaire   +1 more source

Optimal Stack Layout in a Sea Container Terminal with Automated Lifting Vehicles [PDF]

, 2014
Container terminal performance is largely determined by its design decisions, which include the number and type of quay cranes (QCs), stack cranes (SCs), transport vehicles, vehicle travel path, and stack layout.
Gupta, A. (Akash), Koster, M.B.M. (René) de, Parhi, S. (Sampanna), Roy, D. (Debjit)   +3 more
core   +1 more source

Research on Energy Saving Effect of Parallel and Perpendicular Yard Layouts under Different Proportions of Transshipment at the Automated Container Terminal

Sustainability
The proportions of container transshipment is the key factor in determining the proportion of automated guided vehicle (AGV) and external container truck operations.
Xiaojun Li, R. Zhou, Lequn Zhu
semanticscholar   +1 more source

The Optimisation of Stochastic Grammars to Enable Cost-Effective Probabilistic Structural Testing [PDF]

, 2013
The effectiveness of probabilistic structural testing depends on the characteristics of the probability distribution from which test inputs are sampled at random.
Alexander, Rob, Clark, John Andrew, Hadley, Mark Jason, Poulding, Simon Marcus   +3 more
core   +3 more sources