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Title:Primerjava ročnega in avtomatskega spremljanja podatkov proizvodnega procesa na primeru proizvodne linije alternatorjev : diplomsko delo
Authors:ID Ajanović, Nejra (Author)
ID Kocijan, Juš (Mentor) More about this mentor... New window
Files:URL http://repozitorij.ung.si/IzpisGradiva.php?id=6726
 
.pdf Nejra_Ajanovic.pdf (1,54 MB)
MD5: 5A6326647A020468EF4FB348F4835D3D
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:PTF - Faculty of Engineering and Management
Abstract:V diplomskem delu se ukvarjamo s preverjanjem kakovosti delovanja proizvodnje in kakovosti izdelkov na proizvodni liniji montaže alternatorjev. Opisujemo dele izdelka in kako poteka njegova sestava. Pri tem določimo, katere meritve in parametre moramo zagotoviti pri izdelavi kakovostnega izdelka za boljše razumevanje obravnavane vsebine. Ugotavljamo, ali avtomatsko spremljanje podatkov (statistični nadzor procesa) že zamenjuje ročno spremljanje podatkov ter človeški del, ki je v vsakem proizvodnem procesu neizogiben. Avtomatski način je opisan s SPC metodologijo in njenim delovanjem v ozadju orodja Q-DAS. Ročni način preverjanja podatkov je opisan z izvajanjem večnivojskih presoj procesa. Na proizvodni liniji montaže sta obe metodi aktualni in se trenutno izvajata hkrati, vendar se rezultati uporabljajo za različne namene in se rezultati med seboj dopolnjujejo. Ugotavljamo, koliko so podatki kakovostni, sledljivi in uporabni, glede na način zbiranja podatkov. Zaključek smo naredili na podlagi teoretičnega in praktičnega primerjanja metod, končnih poročil in statistik.
Keywords:diplomske naloge, proizvodna linija, montaža alternatorjev, večnivojske presoje procesa, statistični nadzor, spremljanje podatkov, uporaba podatkov
Place of publishing:Nova Gorica
Place of performance:Nova Gorica
Publisher:N. Ajanović
Year of publishing:2021
Year of performance:2021
Number of pages:X, 52 str.
PID:20.500.12556/RUNG-6726 New window
COBISS.SI-ID:79123971 New window
UDC:62-5
NUK URN:URN:SI:UNG:REP:SMSJ2QQC
Publication date in RUNG:05.10.2021
Views:3308
Downloads:179
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Secondary language

Language:English
Title:A comparison of the manual and automatic monitoring of production process data in the case of the alternator production line
Abstract:In this diploma thesis we deal with quality assessment of a production operations and products on the alternator assembly line. We describe the parts of the product and how its assembly takes place. In doing so, we determine which measurements and parameters we need to provide when making a quality product for a better understanding of the considered content. We determine whether automatic data monitoring (statistical process control) has already replaced manual data monitoring and the human part which is inevitable in any production process. The automatic mode is described via the SPC methodology and its operation in the background of the Q-DAS tool. Manual method of data controlling is described as the implementation of layered process. On the assembly line, both methods are being used and are currently being implemented simultaneously but the results are used for different purposes and are complementing each other. We determine how high-quality, traceable and useful the data are depending on the method of collected data. The conclusion is based on a theoretical and practical comparison of methods, final reports and statistics.
Keywords:Alternator assembly production line, layered process audit, statistical process control, monitoring and data usage


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