Solving a Crane Scheduling Problem Using Intelligent Search Schemes

Cranes are central to port operations where cargo throughput and port efficiency is often determined by how well loading and unloading is performed. In ports, the effectiveness of any logistics management system which includes operating cranes is often impacted by pressures of limited port size, hig...

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Main Authors: LIM, Andrew, RODRIGUES, Brian, XU, Zhou
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Language:English
Published: Institutional Knowledge at Singapore Management University 2004
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Online Access:https://ink.library.smu.edu.sg/lkcsb_research/2381
https://doi.org/10.1007/978-3-540-30201-8_59
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spelling sg-smu-ink.lkcsb_research-33802016-03-10T09:48:24Z Solving a Crane Scheduling Problem Using Intelligent Search Schemes LIM, Andrew RODRIGUES, Brian XU, Zhou Cranes are central to port operations where cargo throughput and port efficiency is often determined by how well loading and unloading is performed. In ports, the effectiveness of any logistics management system which includes operating cranes is often impacted by pressures of limited port size, high cargo transshipment volumes and limited physical facilities and equipment. It is therefore not surprising that emphasis has been placed on efficient crane scheduling in many ports, including the Port of Singapore, the Port of Hong Kong and Australian ports. Cranes are at the interface between land and sea, and because of operating space boundaries and crane structures cranes can only move in a limited areas, usually in one dimension along tracks. A typical operating scheme for quay cranes is illustrated as follows. Containers on vessels to be unloaded are usually partitioned into non-preemptive job parcels in some order on ship decks or holds and are moved to vehicles which transport them to stack yards for storage. In the reverse operation, cargo is loaded onto the ships from trucks out of yards. In this scenario, cranes and vehicles move through fixed channels or routes and bottlenecks occur when movement along these routes becomes congested. 2004-10-01T07:00:00Z text https://ink.library.smu.edu.sg/lkcsb_research/2381 info:doi/10.1007/978-3-540-30201-8_59 https://doi.org/10.1007/978-3-540-30201-8_59 Research Collection Lee Kong Chian School Of Business eng Institutional Knowledge at Singapore Management University Operations and Supply Chain Management Transportation
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
Transportation
spellingShingle Operations and Supply Chain Management
Transportation
LIM, Andrew
RODRIGUES, Brian
XU, Zhou
Solving a Crane Scheduling Problem Using Intelligent Search Schemes
description Cranes are central to port operations where cargo throughput and port efficiency is often determined by how well loading and unloading is performed. In ports, the effectiveness of any logistics management system which includes operating cranes is often impacted by pressures of limited port size, high cargo transshipment volumes and limited physical facilities and equipment. It is therefore not surprising that emphasis has been placed on efficient crane scheduling in many ports, including the Port of Singapore, the Port of Hong Kong and Australian ports. Cranes are at the interface between land and sea, and because of operating space boundaries and crane structures cranes can only move in a limited areas, usually in one dimension along tracks. A typical operating scheme for quay cranes is illustrated as follows. Containers on vessels to be unloaded are usually partitioned into non-preemptive job parcels in some order on ship decks or holds and are moved to vehicles which transport them to stack yards for storage. In the reverse operation, cargo is loaded onto the ships from trucks out of yards. In this scenario, cranes and vehicles move through fixed channels or routes and bottlenecks occur when movement along these routes becomes congested.
format text
author LIM, Andrew
RODRIGUES, Brian
XU, Zhou
author_facet LIM, Andrew
RODRIGUES, Brian
XU, Zhou
author_sort LIM, Andrew
title Solving a Crane Scheduling Problem Using Intelligent Search Schemes
title_short Solving a Crane Scheduling Problem Using Intelligent Search Schemes
title_full Solving a Crane Scheduling Problem Using Intelligent Search Schemes
title_fullStr Solving a Crane Scheduling Problem Using Intelligent Search Schemes
title_full_unstemmed Solving a Crane Scheduling Problem Using Intelligent Search Schemes
title_sort solving a crane scheduling problem using intelligent search schemes
publisher Institutional Knowledge at Singapore Management University
publishDate 2004
url https://ink.library.smu.edu.sg/lkcsb_research/2381
https://doi.org/10.1007/978-3-540-30201-8_59
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