Optimal container routing in liner shipping networks considering repacking 20 ft containers into 40 ft containers

Wang, S; Qu, X; Wang, T; Yi, W

Optimal container routing in liner shipping networks considering repacking 20 ft containers into 40 ft containers

Wang, S Qu, X

Wang, T Yi, W

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Publication Type:: Journal Article
Citation:: Journal of Advanced Transportation, 2017, 2017
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Wang, S	en_US
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Wang, T	en_US
dc.contributor.author	Yi, W	en_US
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Journal of Advanced Transportation, 2017, 2017	en_US
dc.identifier.issn	0197-6729	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124778
dc.description.abstract	© 2017 Shuaian Wang et al. The volume of a 40 ft container is twice as large as that of a 20 ft container. However, the handling cost (loading, unloading, and transshipment) of a 40 ft container is much lower than twice the corresponding handling cost of two 20 ft containers. Enlightened by this observation, we propose a novel container routing with repacking problem in liner shipping, where two 20 ft containers can be repacked to a 40 ft container in order to reduce the handling cost. We develop a mixed-integer linear programming model that formulates the routing decisions and the repacking decisions in a holistic manner. An illustrative example is reported to demonstrate the applicability of the model. Results show that the benefit of repacking is the most significant when containers are transshipped several times.	en_US
dc.relation.ispartof	Journal of Advanced Transportation	en_US
dc.relation.isbasedon	10.1155/2017/8608032	en_US
dc.subject.classification	Logistics & Transportation	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Phenylacetates	en_US
dc.subject.mesh	Propanidid	en_US
dc.subject.mesh	Receptors, GABA-A	en_US
dc.subject.mesh	Anesthetics, Intravenous	en_US
dc.subject.mesh	Binding Sites	en_US
dc.subject.mesh	Protein Binding	en_US
dc.subject.mesh	Substrate Specificity	en_US
dc.subject.mesh	Kinetics	en_US
dc.subject.mesh	Thermodynamics	en_US
dc.subject.mesh	Protein Interaction Domains and Motifs	en_US
dc.subject.mesh	Molecular Docking Simulation	en_US
dc.subject.mesh	Protein Conformation, alpha-Helical	en_US
dc.subject.mesh	Protein Conformation, beta-Strand	en_US
dc.title	Optimal container routing in liner shipping networks considering repacking 20 ft containers into 40 ft containers	en_US
dc.type	Journal Article
utslib.citation.volume	2017	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	1507 Transportation and Freight Services	en_US
utslib.for	0102 Applied Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	2017	en_US

Abstract:

© 2017 Shuaian Wang et al. The volume of a 40 ft container is twice as large as that of a 20 ft container. However, the handling cost (loading, unloading, and transshipment) of a 40 ft container is much lower than twice the corresponding handling cost of two 20 ft containers. Enlightened by this observation, we propose a novel container routing with repacking problem in liner shipping, where two 20 ft containers can be repacked to a 40 ft container in order to reduce the handling cost. We develop a mixed-integer linear programming model that formulates the routing decisions and the repacking decisions in a holistic manner. An illustrative example is reported to demonstrate the applicability of the model. Results show that the benefit of repacking is the most significant when containers are transshipped several times.

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http://hdl.handle.net/10453/124778