Manufacturing intelligence : a dissemination of intelligent manufacturing principles with specific application

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dc.contributor.advisorFourie, C. J.
dc.contributor.authorSchlechter, E. J. (Emile Johan)
dc.contributor.otherStellenbosch University. Faculty of Engineering. Dept. of Industrial Engineering.en_ZA
dc.date.accessioned2012-08-27T11:35:13Z
dc.date.available2012-08-27T11:35:13Z
dc.date.issued2002-04
dc.descriptionThesis (MEng)--University of Stellenbosch, 2002.en_ZA
dc.description.abstractENGLISH ABSTRACT: Artificial intelligence has provided several techniques with applications in manufacturing. Knowledge based systems, neural networks, case based reasoning, genetic algorithms and fuzzy logic have been successfully employed in manufacturing. This thesis will provide the reader with an introduction and an understanding of each of these techniques (Chapter 2 & 3). The intelligent manufacturing process can be a complex one and can be decomposed into several components: intelligent design, intelligent process planning, intelligent quality management, intelligent maintenance and diagnosis, intelligent scheduling and intelligent control. This thesis will focus on how each of the artificial intelligence techniques can be applied to each of the manufacturing process fields. Chapter 5 Chapter 6 Chapter 7 Knowledge based systems Neural networks Fuzzy logic Case based reasoning Genetic algorithms Chapter 8 Chapter 9 Chapter 10 Manufacturing intelligence can be approached from two main directions: theoretical research and practical application. Most of the concepts, methods and techniques discussed in this thesis are approached from a theoretical research point of view. This thesis is also aimed at providing the reader with a broader picture of manufacturing intelligence and how to apply the intelligent techniques, in theory. Specific attention will be given to intelligent scheduling as an application (Chapter 11). The application will demonstrate how case based reasoning can be applied in intelligent scheduling within a small manufacturing plant.en_ZA
dc.description.abstractAFRIKAANSE OPSOMMING: Kunsmatige intelligensie bied 'n verskeidenheid tegnieke en toepassings in die vervaardigingsomgewing. Kennis baseerde sisteme, neurale netwerke, gevalle basseerde redenasie, generiese algoritmes en wasige logika word suksesvol in die vervaardigingsopset toegepas. Dié tesis gee die leser 'n inleiding en basiese oorsig van metodes om elk van die tegnieke te gebruik (hoofstuk 2 & 3). Die intelligente vervaardigingproses is 'n komplekse proses en kan afgebreek word in verskeie komponente: intelligente ontwerp, intelligente prosesbeplanning, intelligente gehaltebestuur, intelligente onderhoud en diagnose, intelligente kontrole en intelligente skedulering. Hierdie tesis sal fokus op hoe elk van die kunsmatige intelligente tegnieke op elk van die vervaardigingprosesvelde toegepas kan word. Hoofstuk 5 Hoofstuk 6 Hoofstuk 7 Kennis gebaseerde sisteme Wasige logika Neurale netwerke Gevalle baseerde redenasie Generiese algoritmes Hoofstuk 8 Hoofstuk 9 Hoofstuk 10 Vervaardigingsintelligensie kan vanuit twee oogpunte benader word, naamlik 'n teoretiese ondersoek en 'n praktiese aanslag. Die meeste van hierdie konsepte, metodes en tegnieke word in hierdie tesis vanuit 'n teoretiese oogpunt benader. Die tesis is daarop gerig om die leser 'n wyer perspektief te gee van intelligente vervaardiging en hoe om die intelligente tegnieke, in teorie, toe te pas. Spesifieke aandag sal gegee word aan intelligente skedulering as 'n toepassing (Hookstuk 11). Die toepassing sal demonstreer hoe gevalle baseerde redenasie toegepas kan word in intelligente skedulering.af_ZA
dc.format.extent211 p. : ill.
dc.identifier.urihttp://hdl.handle.net/10019.1/52927
dc.language.isoen_ZAen_ZA
dc.publisherStellenbosch : Stellenbosch Universityen_ZA
dc.rights.holderStellenbosch Universityen_ZA
dc.subjectArtificial intelligence -- Industrial applicationsen_ZA
dc.subjectManufacturing processes -- Planning -- Data processingen_ZA
dc.subjectComputer integrated manufacturing systemsen_ZA
dc.subjectProduction planning -- Data processingen_ZA
dc.subjectDissertations -- Industrial engineeringen_ZA
dc.subjectTheses -- Industrial engineeringen_ZA
dc.titleManufacturing intelligence : a dissemination of intelligent manufacturing principles with specific applicationen_ZA
dc.typeThesisen_ZA
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Masters Degrees (Industrial Engineering)