Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.tre.2012.07.002
DC FieldValue
dc.titleA note on "Berth allocation considering fuel consumption and vessel emissions
dc.contributor.authorWang, S.
dc.contributor.authorMeng, Q.
dc.contributor.authorLiu, Z.
dc.date.accessioned2014-06-16T09:32:31Z
dc.date.available2014-06-16T09:32:31Z
dc.date.issued2013
dc.identifier.citationWang, S., Meng, Q., Liu, Z. (2013). A note on "Berth allocation considering fuel consumption and vessel emissions. Transportation Research Part E: Logistics and Transportation Review 49 (1) : 48-54. ScholarBank@NUS Repository. https://doi.org/10.1016/j.tre.2012.07.002
dc.identifier.issn13665545
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54570
dc.description.abstractDu et al. [Du, Y., Chen, Q., Quan, X., Long, L., Fung, R.Y.K., 2011. Berth allocation considering fuel consumption and vessel emissions. Transportation Research Part E 47, 1021-1037] dealt with a berth allocation problem incorporating ship' fuel consumption minimization. To address the difficulty posed by the power function between fuel consumption rate and sailing speed, they formulated a tractable mixed-integer second-order cone programming model. We propose two quadratic outer approximation approaches that can handle general fuel consumption rate functions more efficiently. In the static quadratic outer approximation approach, the approximation lines are generated a priori. In the dynamic quadratic outer approximation approach, the approximation lines are generated dynamically. Numerical experiments demonstrate the advantages of the two approaches. © 2012 Elsevier Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.tre.2012.07.002
dc.sourceScopus
dc.subjectBerth allocation
dc.subjectFuel consumption optimization
dc.subjectQuadratic outer approximation
dc.subjectSea transport
dc.subjectSecond-order cone programming
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1016/j.tre.2012.07.002
dc.description.sourcetitleTransportation Research Part E: Logistics and Transportation Review
dc.description.volume49
dc.description.issue1
dc.description.page48-54
dc.identifier.isiut000314376800005
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