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Title:Fino planiranje proizvodnje in optimizacija proizvodnega procesa v podjetju NIEROS Metal d.o.o. : magistrsko delo
Authors:ID Laure, Timotej (Author)
ID Palčič, Iztok (Mentor) More about this mentor... New window
ID Nedelko, Zlatko (Mentor) More about this mentor... New window
ID Jevšnikar, Simon (Comentor)
Files:.pdf MAG_Laure_Timotej_2023.pdf (3,11 MB)
MD5: 3C0B1A1BE576ACD33032E893022E7D93
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FS - Faculty of Mechanical Engineering
Abstract:V magistrskem delu obravnavamo problem optimizacije proizvodnega procesa in izdelavo finega plana proizvodnega procesa v povezavi z vpeljanim informacijskim sistemom GoSoft v podjetju NIEROS Metal tovarna opreme d.o.o. Cilj raziskovalne naloge je zasnova finega plana proizvodnega procesa, ki bi podjetju služil za optimalno obdelavo naročil in lansiranje delovnih nalogov v proizvodnjo. Poleg tega smo opredelili teoretične osnove, ki obravnavajo kazalnike skupne učinkovitosti opreme in delovnega osebja. Z optimizacijo razporeditve virov in izdelavo finega plana želimo izboljšati učinkovitost proizvodnega procesa. Celoten empirični del magistrske naloge temelji na realnih podatkih naročniškega tipa proizvodnje. Vsi podatki so bili privzeti iz informacijskega sistema GoSoft in prikazujejo realne vrednosti. Pomen doslednega knjiženja in sledenja različnih tipov podatkov smo zajeli tudi v opisu informacijskega sistema. V delu smo se osredotočili tudi na analizo učinkovitosti obstoječega proizvodnega procesa in identifikacijo morebitnih izzivov ter omejitev, ki so prisotni v naročniškem tipu proizvodnje. Na podlagi podatkov poslovanja in proizvajanja, pridobljenih iz informacijskega sistema, smo definirali prilagojene kazalnike uspešnosti opreme in osebja ter s tem nakazali korake za nadaljnjo preverjanje učinkovitosti. Z optimizacijo finega plana smo temeljito opredelili vpliv raznolikih dejavnikov v treh temeljnih fazah planiranja. Pod drobnogled smo vzeli naročila stalnega kooperanta, ki so bila izhodiščna točka za nadaljnjo analizo vpeljanih ukrepov. Uspešnost finega plana pa smo analizirali glede na zmogljivost, uskladitev dobavnih in odpremnih rokov ter vpliv finega plana na nabavo in stanje zalog. Ugotovitve magistrskega dela kažejo, da sta optimizacija proizvodnega procesa in izdelava finega plana bistvenega pomena za doseganje večje skupne učinkovitosti podjetja. Pri tem ima pomembno vlogo informacijski sistem, saj omogoča ažurnost pri razlagi in sledenju podatkov ter njihovem vplivu na prilagodljivost proizvodnega procesa. To so dejavniki, ki so v tesni povezavi z implementacijo Industrije 4.0, in kažejo na pomembnost stalnega razvoja in rasti tehnologije podjetja.
Keywords:organizacija proizvodnje, načrtovanje in vodenje proizvodnje, plan proizvodnje, optimizacija proizvodnega procesa, skupna učinkovitost proizvodnega procesa, fino planiranje, terminiranje, lansiranje, informacijski sistem
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[T. Laure]
Year of publishing:2023
Number of pages:1 spletni vir (1 datoteka PDF (XVI, 70 f.))
PID:20.500.12556/DKUM-84890 New window
UDC:658.51(043.2)
COBISS.SI-ID:168734723 New window
Publication date in DKUM:24.08.2023
Views:758
Downloads:292
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:06.08.2023

Secondary language

Language:English
Title:Fine production planning and production process optimization in NIEROS Metal d.o.o.
Abstract:The master's thesis focuses on production process optimization and the development of a comprehensive micro-plan within the implemented information system, GoSoft, at NIEROS Metal tovarna opreme d.o.o. The primary objective of this research is to design and develop a detailed production plan that optimizes order processing and facilitates the smooth execution of work orders. Additionally, the study focuses on theoretical foundations that address key performance indicators related to overall equipment effectiveness, overall effectiveness and labour. Through strategic resource allocation and detailed planning, we aim to enhance and improve the overall efficiency of the whole production process. The empirical analysis conducted in this thesis is based on authentic data gathered from the order-based production process model. All data utilized in this study was extracted from the information system GoSoft, ensuring their accuracy, credibility and reliability. The importance of consistent data documentation across various domains was emphasized during the exploration and description of the information system. Our research focuses on evaluating the efficiency of the existing production process while identifying potential challenges, unknown factors and limitations in the order-based production model. By analyzing the production data obtained from the information system, we have implemented customized performance indicators for both equipment operations and personnel. These indicators serve as a basis for further assessing and regular efficiency control. By optimizing the comprehensive production mikro-plan, we examined the impact of diverse factors throughout the three mikro-planning phases. We closely scrutinized orders from a long-term cooperator, which served as the foundation for further analysis. The performance of the fine plan was assessed based on its impact on capacity, delivery and dispatch deadlines, procurement factors, and inventory management. The findings of this master's thesis unequivocally highlight the significance of optimizing the production process and creating a detailed plan for maximizing the overall efficiency within the examined company. The information system plays a vital role in real-time data tracking and adaptability of the production process. These factors are intricately linked to the implementation of Industry 4.0, underscoring the continual development and technological growth of both the organization and the industry as a whole.
Keywords:production organization, production planning and management, production plan, production process optimization, overall efficiency, mikro planning, scheduling, information system


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