Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/98390
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.creator | Zhen, L | en_US |
| dc.creator | Shen, T | en_US |
| dc.creator | Wang, S | en_US |
| dc.creator | Yu, S | en_US |
| dc.date.accessioned | 2023-04-27T01:05:15Z | - |
| dc.date.available | 2023-04-27T01:05:15Z | - |
| dc.identifier.issn | 0925-5273 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/98390 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.rights | © 2015 Elsevier B.V. All rights reserved. | en_US |
| dc.rights | © 2015. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/. | en_US |
| dc.rights | The following publication Zhen, L., Shen, T., Wang, S., & Yu, S. (2016). Models on ship scheduling in transshipment hubs with considering bunker cost. International Journal of Production Economics, 173, 111-121 is available at https://doi.org/10.1016/j.ijpe.2015.12.008. | en_US |
| dc.subject | Bunker cost | en_US |
| dc.subject | Maritime transportation | en_US |
| dc.subject | Port operations | en_US |
| dc.subject | Shipping line | en_US |
| dc.title | Models on ship scheduling in transshipment hubs with considering bunker cost | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 111 | en_US |
| dc.identifier.epage | 121 | en_US |
| dc.identifier.volume | 173 | en_US |
| dc.identifier.doi | 10.1016/j.ijpe.2015.12.008 | en_US |
| dcterms.abstract | This paper studies a decision problem for scheduling ships' starting operation time in a transshipment hub with considering the bunker cost and the transshipment cost of containers. Based on the information about the handing capacity of the container port in each period, the port operator makes a proper decision and informs the shipping companies about the start operation days of each liner route. The optimized decision may help shipping companies significantly reduce the cost. This study proposes a mixed integer programming model. The NP-hardness of the problem is proved. A local branching based solution method is also developed for solving the model. Extensive numerical experiments demonstrate the optimality of the solution by the proposed method is less than 3% for large-scale problem instances. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | International journal of production economics, Mar. 2016, v. 173, p. 111-121 | en_US |
| dcterms.isPartOf | International journal of production economics | en_US |
| dcterms.issued | 2016-03 | - |
| dc.identifier.scopus | 2-s2.0-84959486533 | - |
| dc.description.validate | 202304 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | LMS-0512 | - |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China; Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning; Shanghai Social Science Research Program | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 6622557 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Models_Ship_Scheduling.pdf | Pre-Published version | 1.7 MB | Adobe PDF | View/Open |
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