Please use this identifier to cite or link to this item:
DC FieldValue
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.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.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.subjectAutomated guided vehicles
dc.subjectDispatching rules
dc.subjectFlexible manufacturing systems
dc.subjectFuzzy logic
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleIntelligent Automation and Soft Computing
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Oct 27, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.