Please use this identifier to cite or link to this item:
https://doi.org/10.1021/ie060379j
DC Field | Value | |
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dc.title | Scheduling tanker-lightering operations in crude oil transportation | |
dc.contributor.author | Huang, C. | |
dc.contributor.author | Karimi, I.A. | |
dc.date.accessioned | 2014-06-17T07:48:33Z | |
dc.date.available | 2014-06-17T07:48:33Z | |
dc.date.issued | 2006-11-22 | |
dc.identifier.citation | Huang, C., Karimi, I.A. (2006-11-22). Scheduling tanker-lightering operations in crude oil transportation. Industrial and Engineering Chemistry Research 45 (24) : 8063-8082. ScholarBank@NUS Repository. https://doi.org/10.1021/ie060379j | |
dc.identifier.issn | 08885885 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/64550 | |
dc.description.abstract | Direct ship-to-ship lightering of large crude oil tankers via small vessels to enable the former to enter shallow channels and ports is an extremely crucial operation in crude transportation. We consider a scheduling problem faced by a shipping company that operates a fleet of multicompartment service vessels with different configurations to provide lightering services for multiple refineries clustered in a region. In contrast to limited existing work on the tanker-lightering problem, we address several realistic and practical problem considerations such as multicompartment vessels, limitation on simultaneous transfers, crude density variations, etc. We develop two continuous-time, slot-based, mixed-integer linear programming (MILP) models using different linearization methods and address two objectives of minimizing tanker demurrage and time-charter costs. The model requiring additional continuous variables but fewer nonzeros and constraints generally performs better. In addition, we develop a simplified model based on some intuitive, albeit heuristic, considerations to enable the solution of real-scale problems. A numerical comparison of our best slot-based model with existing event-based models for simplified versions of our general problem shows that the former is faster. © 2006 American Chemical Society. | |
dc.description.uri | http://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1021/ie060379j | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | CHEMICAL & BIOMOLECULAR ENGINEERING | |
dc.description.doi | 10.1021/ie060379j | |
dc.description.sourcetitle | Industrial and Engineering Chemistry Research | |
dc.description.volume | 45 | |
dc.description.issue | 24 | |
dc.description.page | 8063-8082 | |
dc.description.coden | IECRE | |
dc.identifier.isiut | 000242020800013 | |
Appears in Collections: | Staff Publications |
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