Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/80440
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dc.titleFlexible dispatching rules for automated guided vehicles based on a self-adapting fuzzy prioritizing system
dc.contributor.authorTan, K.K.
dc.contributor.authorLee, T.H.
dc.contributor.authorTang, K.Z.
dc.date.accessioned2014-10-07T02:57:33Z
dc.date.available2014-10-07T02:57:33Z
dc.date.issued1999
dc.identifier.citationTan, K.K.,Lee, T.H.,Tang, K.Z. (1999). Flexible dispatching rules for automated guided vehicles based on a self-adapting fuzzy prioritizing system. Intelligent Automation and Soft Computing 5 (4) : 327-336. ScholarBank@NUS Repository.
dc.identifier.issn10798587
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/80440
dc.description.abstractIn this paper, we propose a flexible dispatching system for unit load automated guided vehicles in a flexible manufacturing environment, using a self-adapting fuzzy logic-driven approach. Unlike conventional heuristical approaches, we are able to satisfy a multi-criterion formulation of factors affecting the dispatch decision. The system also has a self-adaptation feature in that respective influence of the elementary rules may be continuously adapted to suit the manufacturing environment. Simulation results are provided to compare the effectiveness of the approach against current methodologies.
dc.sourceScopus
dc.subjectAutomated guided vehicles
dc.subjectDispatching rules
dc.subjectFlexible manufacturing systems
dc.subjectFuzzy logic
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIntelligent Automation and Soft Computing
dc.description.volume5
dc.description.issue4
dc.description.page327-336
dc.identifier.isiutNOT_IN_WOS
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