Dynamic Quay Crane Allocation
We introduce simple rules for quay cranes to handle containers along a berth where vessels arrive continuously in time. We first analyze a model where workload is continuous. Our analysis shows that if the system is configured properly, it will always converge to a state with the maximum possible th...
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Institutional Knowledge at Singapore Management University
2010
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sg-smu-ink.etd_coll-10612015-09-14T02:07:21Z Dynamic Quay Crane Allocation ZHANG, Yan We introduce simple rules for quay cranes to handle containers along a berth where vessels arrive continuously in time. We first analyze a model where workload is continuous. Our analysis shows that if the system is configured properly, it will always converge to a state with the maximum possible throughput regardless of external disruptions or changes in workload. Numerical simulations based on a discrete workload model suggest that, by following the same rules, the system can still converge to state with throughput that is very close to its upper bound. 2010-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/62 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1061&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University quay crane scheduling container terminals bucket brigades self-organising systems Operations and Supply Chain Management |
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quay crane scheduling container terminals bucket brigades self-organising systems Operations and Supply Chain Management |
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quay crane scheduling container terminals bucket brigades self-organising systems Operations and Supply Chain Management ZHANG, Yan Dynamic Quay Crane Allocation |
| description |
We introduce simple rules for quay cranes to handle containers along a berth where vessels arrive continuously in time. We first analyze a model where workload is continuous. Our analysis shows that if the system is configured properly, it will always converge to a state with the maximum possible throughput regardless of external disruptions or changes in workload. Numerical simulations based on a discrete workload model suggest that, by following the same rules, the system can still converge to state with throughput that is very close to its upper bound. |
| format |
text |
| author |
ZHANG, Yan |
| author_facet |
ZHANG, Yan |
| author_sort |
ZHANG, Yan |
| title |
Dynamic Quay Crane Allocation |
| title_short |
Dynamic Quay Crane Allocation |
| title_full |
Dynamic Quay Crane Allocation |
| title_fullStr |
Dynamic Quay Crane Allocation |
| title_full_unstemmed |
Dynamic Quay Crane Allocation |
| title_sort |
dynamic quay crane allocation |
| publisher |
Institutional Knowledge at Singapore Management University |
| publishDate |
2010 |
| url |
https://ink.library.smu.edu.sg/etd_coll/62 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1061&context=etd_coll |
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