Deadlock Prediction And Avoidance For Zone-Control AGVS

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Show simple item record Yeh, MS Yeh, W 2012-02-02T11:09:01Z 1998-01
dc.identifier.citation International Journal Of Production Research, 1998, 36 (10), pp. 2879 - 2889
dc.identifier.issn 0020-7543
dc.identifier.other E1 en_US
dc.description.abstract Deadlock problems of zone-control uni-directional automated guided vehicle systems (AGVS) are discussed in this paper. A directed graph is de® ned to model the vehicle ¯ ows, to identify distinct vehicle ¯ ows, to represent states easily and to capture concurrent behaviour of zone-control AGVS. The motivation of this research was to propose a dynamic approach to enable prediction in real time and to avoid deadlocks that are caused by sharing guidepath zones for a class of AGVS so that both utilization of resource and overall throughput can be improved. The proposed algorithmic procedure, in accordance with the states gained and generated from the obtained model, can serve as a functional module for the operation of a zone-control AGVS without the need to revise the original vehicle control extensively.
dc.format Esha Dutt
dc.publisher Taylor & Francis Ltd
dc.relation.isbasedon 10.1080/002075498192526
dc.subject NA, Operations Research, MD Multidisciplinary
dc.subject NA; Operations Research
dc.title Deadlock Prediction And Avoidance For Zone-Control AGVS
dc.type Journal Article
dc.parent International Journal Of Production Research
dc.journal.volume 10
dc.journal.volume 36
dc.journal.number en_US
dc.publocation Piscatway, USA en_US
dc.identifier.startpage 1009 en_US
dc.identifier.endpage 1013 en_US FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 0102 Applied Mathematics
dc.for MD Multidisciplinary
dc.personcode 10644870 en_US
dc.personcode 0000068152 en_US
dc.personcode 0000068153 en_US
dc.percentage 100 en_US Other Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom nternational Conference on Industrial Engineering and Engineering Management en_US 20101029 en_US
dc.location.activity Xiamen, China en_US
dc.location.activity ISI:000076201800013
dc.description.keywords AHP; Enterprise risk management; Event layer; Operational risks; Risk management performance; Cluster analysis; Hierarchical systems; Industrial engineering; Industry; Risk assessment; Risk management; Risk analysis en_US
dc.description.keywords NA
dc.staffid en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status Closed Access 2015-04-15 12:17:09.805752+10
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utslib.collection.history Closed (ID: 3)

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