A constraint programming approach to load capacity planning in container vessels
A container vessel carries containers of various characteristics, in terms of size, weight, and contents. The cargo load of a container vessel, being subjected to a set of operational conditions and restrictions regarding ship stability and safety, is a fundamental element in decision-making when a...
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sg-smu-ink.lkcsb_research-80662022-09-02T06:38:04Z A constraint programming approach to load capacity planning in container vessels LEE, Byung Kwon LOW, Mei Wan A container vessel carries containers of various characteristics, in terms of size, weight, and contents. The cargo load of a container vessel, being subjected to a set of operational conditions and restrictions regarding ship stability and safety, is a fundamental element in decision-making when a shipping line provides logistics services to clients. This study presents a constraint programming-based model for the capacity planning of a container vessel under various operational conditions. The proposed model generates base solutions and is complemented with a rich scenariobased analysis that utilizes real-life ship data of a container vessel operated by a liner shipping company with a signifcant market presence. Solutions obtained from the model provide insights on containership capacity planning with difering settings and search strategies. Recommendations to container carriers, regarding improved capacity planning, are the highlights of the study. 2019-09-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/lkcsb_research/7067 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8066&context=lkcsb_research http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Capacity planning Cargo-mix profles Stowage planning Container vessels Constraint programming Operations and Supply Chain Management |
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Capacity planning Cargo-mix profles Stowage planning Container vessels Constraint programming Operations and Supply Chain Management |
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Capacity planning Cargo-mix profles Stowage planning Container vessels Constraint programming Operations and Supply Chain Management LEE, Byung Kwon LOW, Mei Wan A constraint programming approach to load capacity planning in container vessels |
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A container vessel carries containers of various characteristics, in terms of size, weight, and contents. The cargo load of a container vessel, being subjected to a set of operational conditions and restrictions regarding ship stability and safety, is a fundamental element in decision-making when a shipping line provides logistics services to clients. This study presents a constraint programming-based model for the capacity planning of a container vessel under various operational conditions. The proposed model generates base solutions and is complemented with a rich scenariobased analysis that utilizes real-life ship data of a container vessel operated by a liner shipping company with a signifcant market presence. Solutions obtained from the model provide insights on containership capacity planning with difering settings and search strategies. Recommendations to container carriers, regarding improved capacity planning, are the highlights of the study. |
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text |
author |
LEE, Byung Kwon LOW, Mei Wan |
author_facet |
LEE, Byung Kwon LOW, Mei Wan |
author_sort |
LEE, Byung Kwon |
title |
A constraint programming approach to load capacity planning in container vessels |
title_short |
A constraint programming approach to load capacity planning in container vessels |
title_full |
A constraint programming approach to load capacity planning in container vessels |
title_fullStr |
A constraint programming approach to load capacity planning in container vessels |
title_full_unstemmed |
A constraint programming approach to load capacity planning in container vessels |
title_sort |
constraint programming approach to load capacity planning in container vessels |
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Institutional Knowledge at Singapore Management University |
publishDate |
2019 |
url |
https://ink.library.smu.edu.sg/lkcsb_research/7067 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=8066&context=lkcsb_research |
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