A dispatching method for automated lifting vehicles in automated port container terminals

Authors:
Vu Duc Nguyen;Kap Hwan Kim
Affiliations:
Department of Industrial Engineering, Pusan National University, 30 Jangjeon-dong, Geumjeong-gu, Busan 609-735, South Korea;Department of Industrial Engineering, Pusan National University, 30 Jangjeon-dong, Geumjeong-gu, Busan 609-735, South Korea
Venue:
Computers and Industrial Engineering
Year:
2009

Citing 1
Cited 4

A Look-Ahead Dispatching Method for Automated Guided Vehicles in Automated Port Container Terminals

Transportation Science

Scheduling of lifting vehicle and quay crane in automated port container terminals

International Journal of Intelligent Information and Database Systems
Optimisation for job scheduling at automated container terminals using genetic algorithm

Computers and Industrial Engineering
Multi-objective optimization of dispatching strategies for situation-adaptive AGV operation in an automated container terminal

Proceedings of the 2013 Research in Adaptive and Convergent Systems
Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals

Robotics and Autonomous Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In automated container terminals, containers are transported from the marshalling yard to a ship and vice versa by automated vehicles. The automated vehicle type studied in this paper is an automated lifting vehicle (ALV) that is capable of lifting a container from the ground by itself. This study discusses how to dispatch ALVs by utilizing information about pickup and delivery locations and time in future delivery tasks. A mixed-integer programming model is provided for assigning optimal delivery tasks to ALVs. A procedure for converting buffer constraints into time window constraints and a heuristic algorithm for overcoming the excessive computational time required for solving the mathematical model are suggested. Numerical experiments are reported to compare the objective values and computational times by a heuristic algorithm with those by an optimizing method and to analyze the effects of dual cycle operation, number of ALVs, and buffer capacity on the performance of ALVs.