Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98328
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.creator | Yu, S | en_US |
| dc.creator | Wang, S | en_US |
| dc.creator | Zhen, L | en_US |
| dc.date.accessioned | 2023-04-27T01:04:50Z | - |
| dc.date.available | 2023-04-27T01:04:50Z | - |
| dc.identifier.issn | 1936-6582 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/98328 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer | en_US |
| dc.rights | © Springer Science+Business Media New York 2016 | en_US |
| dc.rights | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s10696-016-9248-4. | en_US |
| dc.subject | Container terminals | en_US |
| dc.subject | Fuel consumption | en_US |
| dc.subject | Port operations | en_US |
| dc.subject | Quay cranes | en_US |
| dc.subject | Tide impacts | en_US |
| dc.title | Quay crane scheduling problem with considering tidal impact and fuel consumption | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 345 | en_US |
| dc.identifier.epage | 368 | en_US |
| dc.identifier.volume | 29 | en_US |
| dc.identifier.issue | 3-4 | en_US |
| dc.identifier.doi | 10.1007/s10696-016-9248-4 | en_US |
| dcterms.abstract | This study investigates a quay crane scheduling problem with considering the impact of tides in a port and fuel consumption of ships. A mixed-integer nonlinear programming model is proposed. Some nonlinear parts in the model are linearized by approximation approaches. For solving the proposed model in large-scale problem instances, both a local branching based solution method and a particle swarm optimization based solution method are developed. Numerical experiments with some real-world like cases are conducted to validate the effectiveness of the proposed model and the efficiency of the proposed solution methods. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Flexible services and manufacturing journal, Dec. 2017, v. 29, no. 3-4, p. 345-368 | en_US |
| dcterms.isPartOf | Flexible services and manufacturing journal | en_US |
| dcterms.issued | 2017-12 | - |
| dc.identifier.scopus | 2-s2.0-84978922927 | - |
| dc.description.validate | 202304 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | LMS-0363 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 6661258 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Quay_Crane_Scheduling.pdf | Pre-Published version | 1.42 MB | Adobe PDF | View/Open |
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