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Title:Model za učinkovito upravljanje podatkov iz uporabe - primer proizvodnje izdelkov bele tehnike
Authors:ID Meža, Peter (Author)
ID Polajnar, Andrej (Author)
ID Glodež, Srečko (Author)
Files:URL http://www.dlib.si/details/URN:NBN:SI:doc-ZLNWVU28
 
Language:Slovenian
Work type:Not categorized
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Abstract:Podjetje, ki zeli ostati konkurenčno, mora stalno spremljati kakovost izdelkov na trgu in odpravljati napake na kritičnih izdelkih. V ta namen potrebujejo proizvajalci glede na svojo velikost in dejavnost specifičen model informacijske integracije podatkov iz faze uporabe. Strukturirani podatki iz uporabe izboljšajo kakovost dela in vključevanje izkušenj iz preteklih krogov izdelkov pri razvoju oz. izboljšavah sedanjih izdelkov. Za potrebe menedžmenta kakovosti je bila povratna zveza dopolnjena z inženirskim modelom delovnega naloga, ki vključuje popis mehanizmov okvar. Na primeru proizvodnega podjetja so prikazani informacijski tokovi med izvajalci popravilna terenu in podjetjem. Specifikacija podatkovnega modela, ki temelji na predstavitvi napake, predstavlja znanje o mehanizmih in vzrokih okvar. Uporabljen je bil model kodifikacije okvar, ki pokriva celotni nabor stanj in vzrokov v strukturirani obliki, ki podjetju omogoča preprosto zbiranje podatkov ter urejeno znanje na osnovi tipiziranih okvar, ki se pojavljajo v dobi trajanja izdelka. Na enem mestu dostopne informacije o popravilih na izdelku omogočajo neposredno preoblikovanje podatkov v povratno zvezo podjetja. V prispevku predstavljen postopek ponuja podporo metodam menedžmenta kakovosti ter podlago za izvedbo izboljševalnih ukrepov v proizvodnem podjetju. V modelu delovnega naloga sestavljeni podatki omogočajo navigacijo v omrežjih stanj izdelkov.
Publisher:Association of Mechanical Engineers and Technicians of Slovenia et al.
Year of publishing:2005
Number of pages:str. 757-770
Numbering:Letn. 51, št. 12
PID:20.500.12556/DKUM-52998 New window
UDC:658.56:658.818.3
ISSN on article:0039-2480
COBISS.SI-ID:8782619 New window
NUK URN:URN:SI:UM:DK:VSEWRC52
Publication date in DKUM:10.07.2015
Views:1343
Downloads:73
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Strojniški vestnik
Shortened title:Stroj. vestn.
Publisher:Zveza strojnih inženirjev in tehnikov Slovenije [etc.], = Association of Mechanical Engineers and Technicians of Slovenia [etc.]
ISSN:0039-2480
COBISS.SI-ID:762116 New window

Secondary language

Language:English
Title:A model of effective data management from exploatation - a case of domestic appliance production
Abstract:A company that wants to stay competitive has to keep up to date with the quality of products on the market, and constantly has to remove all the defects from its critical products. For this reason companies, depending on their size and type of activity, need a specific data-information integration model for the exploitation phase. Structured exploitation data increases the level of work quality and incorporates experience from former lines of products in the process of development or improving current products. For the needs of management quality the recurrent feedback loop was supplemented with the engineer model of service order, which includes an inventory of defect mechanisms. The information flow between fieldwork repairers and the company is illustrated in the case of a production company. The specification of the data model, which is based on defect presentation, presents the knowledge of defect mechanisms and causes. We used the model of the codification of defects. It covers the total area of states and causes in the structured form,which enables the company to easily acquire data as well as organized knowledge on the basis of typified defects that occur in the product lifecycle. Product-repair data available in one place enables a direct data transformation back to the feedback loop of the company. The model presented in this paper offers support to the TQM methods as well as the basis for carrying out correction measures in the production company. The structured data in the service-order model make it possible to navigate in the product-failure net.
Keywords:product quality, reliability, warranty analysis, technical services


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