Manpower Scheduling with Time Windows

In this paper, we propose a manpower allocation model with time windows which is of practical interest to serviceman scheduling operations. Specifically, this problem originates from peculiar port yard scheduling needs where demand is generated from locations in the yard for servicemen who are dispa...

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Main Authors: LIM, Andrew, RODRIGUES, Brian, SONG, Lei
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Language:English
Published: Institutional Knowledge at Singapore Management University 2003
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2071
https://doi.org/10.1145/952532.952677
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spelling sg-smu-ink.lkcsb_research-30702010-09-23T12:30:04Z Manpower Scheduling 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 to serviceman scheduling operations. Specifically, this problem originates from peculiar port yard scheduling needs 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 scheduled, travel distances, travel times and waiting times at each location. Although closely related to the well-known vehicle routing problem, this problem is different while its solution could provide insight to the latter. We develop solutions using metaheuristic methods, and in particular provide tabu embedded simulated annealing and squeaky wheel optimization with local search algorithms for this problem. We apply these newly-developed metaheuristics with adaptations for solutions to the manpower allocation problem, while our analysis throws light on how these work. Computational results are reported which show the effectiveness of our approach when applied to the manpower allocation problem. 2003-03-09T08:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2071 info:doi/10.1145/952532.952677 https://doi.org/10.1145/952532.952677 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Operations and Supply Chain Management
spellingShingle Operations and Supply Chain Management
LIM, Andrew
RODRIGUES, Brian
SONG, Lei
Manpower Scheduling with Time Windows
description In this paper, we propose a manpower allocation model with time windows which is of practical interest to serviceman scheduling operations. Specifically, this problem originates from peculiar port yard scheduling needs 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 scheduled, travel distances, travel times and waiting times at each location. Although closely related to the well-known vehicle routing problem, this problem is different while its solution could provide insight to the latter. We develop solutions using metaheuristic methods, and in particular provide tabu embedded simulated annealing and squeaky wheel optimization with local search algorithms for this problem. We apply these newly-developed metaheuristics with adaptations for solutions to the manpower allocation problem, while our analysis throws light on how these work. Computational results are reported which show the effectiveness of our approach when applied to the manpower allocation problem.
format text
author LIM, Andrew
RODRIGUES, Brian
SONG, Lei
author_facet LIM, Andrew
RODRIGUES, Brian
SONG, Lei
author_sort LIM, Andrew
title Manpower Scheduling with Time Windows
title_short Manpower Scheduling with Time Windows
title_full Manpower Scheduling with Time Windows
title_fullStr Manpower Scheduling with Time Windows
title_full_unstemmed Manpower Scheduling with Time Windows
title_sort manpower scheduling with time windows
publisher Institutional Knowledge at Singapore Management University
publishDate 2003
url https://ink.library.smu.edu.sg/lkcsb_research/2071
https://doi.org/10.1145/952532.952677
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