Manpower Allocation with Time Windows
In this paper, we propose a manpower allocation model with time windows which is of practical interest. This model originates from a real-life port manpower allocation problem where demand is generated from locations in the yard for servicemen who are dispatched from a central point and where the ob...
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sg-smu-ink.lkcsb_research-36262016-03-12T06:18:37Z Manpower Allocation with Time Windows LIM, Andrew RODRIGUES, Brian SONG, Lei In this paper, we propose a manpower allocation model with time windows which is of practical interest. This model originates from a real-life port manpower allocation problem where demand is generated from locations in the yard for servicemen who are dispatched from a central point and where the objectives are to minimize the number of servicemen used, travel distances, travel times and waiting times. We develop a tabu-embedded simulated annealing algorithm and a squeaky wheel optimization with local search algorithm for the problem. Experimental results are reported which show the effectiveness of our approaches. 2004-11-01T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2627 info:doi/10.1057/palgrave.jors.2601782 https://www.jstor.org/stable/4101889 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Heuristic Manpower allocation port yards Operations and Supply Chain Management |
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Heuristic Manpower allocation port yards Operations and Supply Chain Management LIM, Andrew RODRIGUES, Brian SONG, Lei Manpower Allocation with Time Windows |
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In this paper, we propose a manpower allocation model with time windows which is of practical interest. This model originates from a real-life port manpower allocation problem where demand is generated from locations in the yard for servicemen who are dispatched from a central point and where the objectives are to minimize the number of servicemen used, travel distances, travel times and waiting times. We develop a tabu-embedded simulated annealing algorithm and a squeaky wheel optimization with local search algorithm for the problem. Experimental results are reported which show the effectiveness of our approaches. |
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LIM, Andrew RODRIGUES, Brian SONG, Lei |
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LIM, Andrew RODRIGUES, Brian SONG, Lei |
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LIM, Andrew |
title |
Manpower Allocation with Time Windows |
title_short |
Manpower Allocation with Time Windows |
title_full |
Manpower Allocation with Time Windows |
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Manpower Allocation with Time Windows |
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Manpower Allocation with Time Windows |
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manpower allocation with time windows |
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Institutional Knowledge at Singapore Management University |
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2004 |
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https://ink.library.smu.edu.sg/lkcsb_research/2627 https://www.jstor.org/stable/4101889 |
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