Modelling a resilient yard template under storage demand fluctuations in a container terminal

This article investigates the generation of a resilient yard template, which has the property of resilience under storage demand fluctuations. A stochastic programming model is formulated aiming at minimizing the risk of containers without available storage slots being assigned in the designated are...

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Bibliographic Details
Published in:	Engineering optimization Vol. 51; no. 9; pp. 1547 - 1566
Main Authors:	He, Junliang, Tan, Caimao
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis 02.09.2019 Taylor & Francis Ltd
Subjects:	Algorithms Container terminal Containers Particle swarm optimization resilient yard template stochastic programming model storage demand fluctuation Transport buildings, stations and terminals Variation
ISSN:	0305-215X, 1029-0273
Online Access:	Get full text
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Summary:	This article investigates the generation of a resilient yard template, which has the property of resilience under storage demand fluctuations. A stochastic programming model is formulated aiming at minimizing the risk of containers without available storage slots being assigned in the designated area. Furthermore, a corresponding particle swarm optimization algorithm is proposed for solving the model. Finally, numerical experiments are conducted to verify the effectiveness of the proposed model and solution approaches.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ISSN:	0305-215X 1029-0273
DOI:	10.1080/0305215X.2018.1525711