A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations

Bibliographic Details
Main Authors: Mardaneh, Elham, Loxton, Ryan, Lin, Q., Schmidli, P.
Format: Journal Article
Published: American Institute of Mathematical Sciences 2016
Online Access:http://hdl.handle.net/20.500.11937/63127
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author Mardaneh, Elham
Loxton, Ryan
Lin, Q.
Schmidli, P.
author_facet Mardaneh, Elham
Loxton, Ryan
Lin, Q.
Schmidli, P.
author_sort Mardaneh, Elham
building Curtin Institutional Repository
collection Online Access
first_indexed 2025-11-14T10:24:44Z
format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:24:44Z
publishDate 2016
publisher American Institute of Mathematical Sciences
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-631272018-12-14T01:01:11Z A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations Mardaneh, Elham Loxton, Ryan Lin, Q. Schmidli, P. 2016 Journal Article http://hdl.handle.net/20.500.11937/63127 10.3934/jimo.2017009 American Institute of Mathematical Sciences restricted
spellingShingle Mardaneh, Elham
Loxton, Ryan
Lin, Q.
Schmidli, P.
A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title_full A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title_fullStr A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title_full_unstemmed A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title_short A mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
title_sort mixed-integer linear programming model for optimal vessel scheduling in offshore oil and gas operations
url http://hdl.handle.net/20.500.11937/63127