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  • Advanced methods for quality control in manufacturing of parts and subsystems : development period:07/95 to 06/97
    Sluga, Alojzij ; Obleščak, Ljubo ; Jermol, Mitja
    Multi-variable analysis as used nowadazs in quality control relies largely on Anova analysis and multi-variable charts that may give to certain extend the insight into quantification of the major ... families of variation in a process. Here, methods CLUSTERING/QC and TDIDT/QC that handle multi-variable issues are considered in order to get better insight into the processes. The two methods are complementary to traditional methods for statistical process control in manufacturing. They are based on clustering and induction of decision trees accordingly. The partial correlation as well as the hidden characteristics-agents which cannot be found by use of classical quality control methods are those measures that make process identification and interpretation more transparent. More efficient control and inspection scheme as well as refined process improvement in terms of better (uncoupled) design and manufacturing technologycan be achieved.
    Vir: EUREKA - INTO - Project ISYTRANS EU 1156 : Ergebnispräsentation : Entwicklung und Gestaltung leistungsfähiger Unternehmensformen zur Herstellung qualitätsgerechter, attraktiver, kostengünstiger und umweltfreundlicher Produkte des Schienenfahrzeugbaus. Band 1-3 (Band 3, 4.6.2, (17 str.))
    Vrsta gradiva - članek, sestavni del
    Leto - 1997
    Jezik - angleški
    COBISS.SI-ID - 2439195

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