Shell Ying Huang

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∗ Gintic Institute of Manufacturing, 71 Nanyang Drive, Singapore 639798. Emails: {cclim,yhlow,bpooi,sjain}@gintic.gov.sg # Visiting Researcher, from Department of Computer Science, University of Exeter, Exeter, EX4 4PT, U.K. Email: steve@dcs.exeter.ac.uk + Centre for Advanced Information Systems, School of Applied Science, Nanyang Technological University,(More)
A three-level, hierarchical system for yard crane (YC) management in container terminals and the algorithms for the bottom two levels were proposed in previous studies. The bottom two levels are responsible for YC job sequencing and intra-row YC deployment. This paper presents YC deployment strategies for inter-row YC deployment. The objectives are to(More)
Yard crane (YC) dispatching in the operational planning of container terminals usually aims to minimize makespan of YC operations or waiting time of vehicles. We propose that minimizing the maximum tardiness of vehicle jobs at yard blocks will minimize the operational delay of the longest quay crane (QC). This will minimize vessel turnaround time which is(More)
In many simulation-based optimization algorithms, substantial amount of time is often required in the simulation experiments to evaluate the solutions to the problem. In some heuristic or metaheuristic algorithms a significant number of revisits to the same solutions are made when the search converges. We use the ATCRSS heuristic for job sequencing problems(More)
To reduce the turnaround time of a vessel in a container terminal, the performance of automated guided vehicles (AGVs) which carry on the transportation of containers between quayside and yard is crucial. A good dispatching strategy for AGVs should be able to minimize the waiting or idle time of the quay cranes by assigning vehicles to loading or unloading(More)
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