Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0377-2217(99)00373-2
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dc.titleVehicle dispatching system based on Taguchi-tuned fuzzy rules
dc.contributor.authorTan, K.K.
dc.contributor.authorTang, K.Z.
dc.date.accessioned2014-06-17T03:10:04Z
dc.date.available2014-06-17T03:10:04Z
dc.date.issued2001-02-01
dc.identifier.citationTan, K.K., Tang, K.Z. (2001-02-01). Vehicle dispatching system based on Taguchi-tuned fuzzy rules. European Journal of Operational Research 128 (3) : 545-557. ScholarBank@NUS Repository. https://doi.org/10.1016/S0377-2217(99)00373-2
dc.identifier.issn03772217
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/57777
dc.description.abstractThis paper presents the development of a dispatching system for a fleet of automated guided vehicles in a flexible manufacturing environment which is based on a hybrid Fuzzy-Taguchi approach. A fuzzy decision-making system emulates the human behavior necessary for multi-objective directed decision making in a dynamically evolving environment. A statistical approach based on the Taguchi method tunes the fuzzy rules to achieve near optimal performance. Simulation results demonstrate the effectiveness of this marriage of computational tools in dealing with the well-known NP-complete scheduling problem.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0377-2217(99)00373-2
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/S0377-2217(99)00373-2
dc.description.sourcetitleEuropean Journal of Operational Research
dc.description.volume128
dc.description.issue3
dc.description.page545-557
dc.description.codenEJORD
dc.identifier.isiut000165936400006
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