An uncertainty-aware AGV assignment algorithm for automated container terminals
This paper studies job assignments for automated guided in container terminal settings under various conditions of uncertainty. An introduction to their operation is provided, along with a flexible dispatching algorithm, suitable for real-time control of AGVs. Using these concepts a new AGV dispatch...
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Veröffentlicht in: | Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2010-05, Vol.46 (3), p.354-366 |
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creator | Angeloudis, Panagiotis Bell, Michael G.H. |
description | This paper studies job assignments for automated guided in container terminal settings under various conditions of uncertainty. An introduction to their operation is provided, along with a flexible dispatching algorithm, suitable for real-time control of AGVs. Using these concepts a new AGV dispatching approach is developed, capable of operating under uncertain conditions within a detailed container terminal model. Several performance indicators are presented, focused on generic features of vehicle operations as well the assessment of uncertainty levels inside the terminal. From the results of the simulation experiments, it is found that the proposed technique outperforms well known heuristics and alternative algorithms. |
doi_str_mv | 10.1016/j.tre.2009.09.001 |
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From the results of the simulation experiments, it is found that the proposed technique outperforms well known heuristics and alternative algorithms.</description><subject>AGV</subject><subject>AGV Optimisation Container terminal Uncertainty</subject><subject>AGVS</subject><subject>Algorithms</subject><subject>Assignment problem</subject><subject>Automated</subject><subject>Automated guided vehicles</subject><subject>Automation</subject><subject>Automotive components</subject><subject>Container terminal</subject><subject>Containers</subject><subject>Optimisation</subject><subject>Optimization algorithms</subject><subject>Simulation</subject><subject>Studies</subject><subject>Terminals</subject><subject>Transportation</subject><subject>Transportation terminals</subject><subject>Uncertainty</subject><issn>1366-5545</issn><issn>1878-5794</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>X2L</sourceid><recordid>eNp9UU1PGzEUXKEiQYEfwG3FqZcN9vpz1VOECrRC4gJcrRf7BRxl7dT2UuXf41WqHnpAeuPxYWb0NK9pLilZUELl9WZREi56QobFPIQeNadUK90JNfAv9c-k7ITg4qT5mvOGVIUU_WnzuAztFCymAj6UfQd_IGG7vHtpIWf_GkYMpYXta0y-vI3tOqYWphJHKOhaG8Nsw9QWTKMPsM3nzfG6El785bPm-fbH08199_B49_Nm-dBZrlXpNOcr6QbOiRhAc-YEZbZ34OTKUUmdolwQIq0WCleODLQXVg_ACFcDSK7ZWfPtkLtL8feEuZjRZ4vbLQSMUza0l1IxJWlfpVf_STdxSvOypqdacK65qiJ6ENkUc064NrvkR0h7Q4mZGzYbUxs2c8NmHkKr59fBk3CH9p8BEUuCkNG8GwZc1mdf0ZOaxMBXsIrdzIKbehfzVsYa9v0QhrW1d4_JZOuxXsb5hLYYF_0nq3wAYl2bwg</recordid><startdate>20100501</startdate><enddate>20100501</enddate><creator>Angeloudis, Panagiotis</creator><creator>Bell, Michael G.H.</creator><general>Elsevier India Pvt Ltd</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>DKI</scope><scope>X2L</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20100501</creationdate><title>An uncertainty-aware AGV assignment algorithm for automated container terminals</title><author>Angeloudis, Panagiotis ; Bell, Michael G.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c487t-844b6d944059a843d513c2dad6bd161d7145006c857ebd09125c89a30479a6483</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>AGV</topic><topic>AGV Optimisation Container terminal Uncertainty</topic><topic>AGVS</topic><topic>Algorithms</topic><topic>Assignment problem</topic><topic>Automated</topic><topic>Automated guided vehicles</topic><topic>Automation</topic><topic>Automotive components</topic><topic>Container terminal</topic><topic>Containers</topic><topic>Optimisation</topic><topic>Optimization algorithms</topic><topic>Simulation</topic><topic>Studies</topic><topic>Terminals</topic><topic>Transportation</topic><topic>Transportation terminals</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Angeloudis, Panagiotis</creatorcontrib><creatorcontrib>Bell, Michael G.H.</creatorcontrib><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Transportation research. 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language | eng |
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source | RePEc; Access via ScienceDirect (Elsevier) |
subjects | AGV AGV Optimisation Container terminal Uncertainty AGVS Algorithms Assignment problem Automated Automated guided vehicles Automation Automotive components Container terminal Containers Optimisation Optimization algorithms Simulation Studies Terminals Transportation Transportation terminals Uncertainty |
title | An uncertainty-aware AGV assignment algorithm for automated container terminals |
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