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Title:ANALIZA VPLIVNIH PARAMETROV NA IZMET C-JEKEL V OBRATU JEKLARNA, ACRONI D.O.O.
Authors:ID Vukobrad, Danijela (Author)
ID Gomišček, Boštjan (Mentor) More about this mentor... New window
ID Šparl, Petra (Comentor)
Files:.pdf UNI_Vukobrad_Danijela_2011.pdf (1,71 MB)
MD5: E23225E1837BD1270D5A5FA5E69DBED8
PID: 20.500.12556/dkum/1fa0954a-b8c0-4a3a-8390-cb528dd0899b
 
Language:Slovenian
Work type:Undergraduate thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Na podlagi dokumentacije službe kontrole kakovosti o procesu proizvodnje C-jekel v podjetju Acroni d.o.o. je bila v diplomski nalogi opravljena analiza s pomočjo multiple linearne regresije o vplivu parametrov na neustrezno kakovost C-jekel. Multipla regresija je pokazala relativno majhno število statistično značilnih vplivnih parametrov. Razlog za to je predvsem v manjkajočih in konstantnih podatkih. Kljub omenjenim omejitvam je izvedena analiza dala smiselne rezultate o vplivu človeškega faktorja in vsebnosti različnih elementov na neustrezno kakovost pri procesu izdelave C-jekel.
Keywords:kakovost, kontrola kakovosti, zagotavljanje kakovosti, neustrezna kakovost, izmet, multipla linearna regresija
Place of publishing:Kranj
Year of publishing:2011
PID:20.500.12556/DKUM-20019 New window
COBISS.SI-ID:6930195 New window
NUK URN:URN:SI:UM:DK:YEQJFQLB
Publication date in DKUM:08.11.2011
Views:2488
Downloads:370
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Secondary language

Language:English
Title:ANALYSIS OF INFLUENTIAL PARAMETERS ON SCRAP OF C-STEEL IN THE STEELWORK PLANT, ACRONI D.O.O.
Abstract:Analysis in Diploma Thesis was made by using multiple linear regression to obtain a possible influence of different parameters on inadequate quality parameters on C- steels. The analysis was based on the documentation of quality control department of company Acroni d.o.o. during the production of C- steel. Multiple regression showed a relatively small number of statistically significant parameters. The reason for this could be found in the missing values in the data sets and in constant variables.Despite these limitations, the analysis give meaningful results on the impact of human factorsand the presence of various elements on the scarp quantities.
Keywords:quality, quality control, quality assurance, inadequate, quality, scarp. multiple linear regression


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