Analysis of a New Vehicle Scheduling and Location Problem

We consider a container terminal discharging containers from a ship and locating them in the terminal yard. Each container has a number of potential locations in the yard where it can be stored. Containers are moved from the ship to the yard using a fleet of vehicles, each of which can carry one con...

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Main Authors: BISH, Ebru K., LEONG, Thin Yin, LI, Chun-Lun, NG, Jonathan W. C., SIMCHI-LEVI, David
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Language:English
Published: Institutional Knowledge at Singapore Management University 2001
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Online Access:https://ink.library.smu.edu.sg/sis_research/5
https://ink.library.smu.edu.sg/context/sis_research/article/1004/viewcontent/Bish_et_al_2001_NewVehicleScheduling_Naval.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-10042018-06-28T09:29:04Z Analysis of a New Vehicle Scheduling and Location Problem BISH, Ebru K. LEONG, Thin Yin LI, Chun-Lun NG, Jonathan W. C. SIMCHI-LEVI, David We consider a container terminal discharging containers from a ship and locating them in the terminal yard. Each container has a number of potential locations in the yard where it can be stored. Containers are moved from the ship to the yard using a fleet of vehicles, each of which can carry one container at a time. The problem is to assign each container to a yard location and dispatch vehicles to the containers so as to minimize the time it takes to download all the containers from the ship. We show that the problem is NP-hard and develop a heuristic algorithm based on formulating the problem as an assignment problem. The effectiveness of the heuristic is analyzed from both worst-case and computational points of view. 2001-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5 info:doi/10.1002/nav.1024 https://ink.library.smu.edu.sg/context/sis_research/article/1004/viewcontent/Bish_et_al_2001_NewVehicleScheduling_Naval.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Computer Sciences Operations Research, Systems Engineering and Industrial Engineering Transportation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
Transportation
spellingShingle Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
Transportation
BISH, Ebru K.
LEONG, Thin Yin
LI, Chun-Lun
NG, Jonathan W. C.
SIMCHI-LEVI, David
Analysis of a New Vehicle Scheduling and Location Problem
description We consider a container terminal discharging containers from a ship and locating them in the terminal yard. Each container has a number of potential locations in the yard where it can be stored. Containers are moved from the ship to the yard using a fleet of vehicles, each of which can carry one container at a time. The problem is to assign each container to a yard location and dispatch vehicles to the containers so as to minimize the time it takes to download all the containers from the ship. We show that the problem is NP-hard and develop a heuristic algorithm based on formulating the problem as an assignment problem. The effectiveness of the heuristic is analyzed from both worst-case and computational points of view.
format text
author BISH, Ebru K.
LEONG, Thin Yin
LI, Chun-Lun
NG, Jonathan W. C.
SIMCHI-LEVI, David
author_facet BISH, Ebru K.
LEONG, Thin Yin
LI, Chun-Lun
NG, Jonathan W. C.
SIMCHI-LEVI, David
author_sort BISH, Ebru K.
title Analysis of a New Vehicle Scheduling and Location Problem
title_short Analysis of a New Vehicle Scheduling and Location Problem
title_full Analysis of a New Vehicle Scheduling and Location Problem
title_fullStr Analysis of a New Vehicle Scheduling and Location Problem
title_full_unstemmed Analysis of a New Vehicle Scheduling and Location Problem
title_sort analysis of a new vehicle scheduling and location problem
publisher Institutional Knowledge at Singapore Management University
publishDate 2001
url https://ink.library.smu.edu.sg/sis_research/5
https://ink.library.smu.edu.sg/context/sis_research/article/1004/viewcontent/Bish_et_al_2001_NewVehicleScheduling_Naval.pdf
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