Deciding on planning windows by partitioning time

for yard crane management in container terminals

Deciding on planning windows by partitioning time for yard crane management in container terminals

This paper proposes a new dynamic Yard Crane (YC) workload partition scheme in container terminals. The main contribution is the time partitioning algorithm which finds a sequence of time windows to match closely the changing...

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Bibliographic Details
Main Authors:	Guo, Xi, Huang, Shell Ying
Other Authors:	School of Computer Engineering
Format:	Conference or Workshop Item
Language:	English
Published:	2011
Subjects:	DRNTU::Engineering::Computer science and engineering::Computer applications::Physical sciences and engineering
Online Access:	https://hdl.handle.net/10356/93901 http://hdl.handle.net/10220/7080 http://gauss.econ.uni-hamburg.de/iccl2010/index.html
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Institution:	Nanyang Technological University
Language:	English

Description
Summary:	This paper proposes a new dynamic Yard Crane (YC) workload partition scheme in container terminals. The main contribution is the time partitioning algorithm which finds a sequence of time windows to match closely the changing workload distribution and get the maximum benefit of the space partition algorithm. Experimental results show that the proposed time partition algorithm plays the most important role in making substantial improvements over basic partition scheme in all tested workload scenarios.