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Title:Analiza učinkovitosti oskrbovalne verige podjetja Engrotuš d. o. o.
Authors:ID Pintar, David (Author)
ID Mežnar, Dušan (Mentor) More about this mentor... New window
Files:.pdf VS_Pintar_David_2025.pdf (782,49 KB)
MD5: A27C028AF98F7085D39D88FB01F53F01
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Analiza oskrbovalne verige podjetja Engrotuš d.o.o. je pokazala, da podjetje uspešno upravlja s procesi, vendar zaostaja na področju tehnoloških izboljšav, kar lahko vpliva na njegovo dolgoročno konkurenčnost. Najpomembnejši izzivi so na področju optimizacije transportnih poti, avtomatizacije skladišč, izboljšanja napovedovanja povpraševanja ter digitalizacije upravljanja zalog. Umetna inteligenca bi omogočala učinkovitejše delovanje celotne oskrbovalne verige, čeprav je celovita tehnološka prenova trenutno omejena zaradi strategije lastnika, ki je osredotočen na samo prodajo podjetja. Zato večjih kratkoročnih vlaganj v digitalizacijo ni pričakovati, kar pomeni, da bo treba rešitve uvajati postopoma in ciljno usmerjeno. Priporočamo uvedbo pragmatičnih tehnoloških izboljšav, ki lahko brez visokih investicijskih vložkov optimizirajo obstoječe procese. To vključuje digitalizacijo operacij v skladiščih, izboljšave na področju transporta in analitične sisteme na področju napovedovanja povpraševanja. Spremljanje konkurence ter postopna integracija stroškovno učinkovitih digitalnih rešitev bosta podjetju omogočila, da kljub omejenim investicijskim možnostim ohrani stabilnost poslovanja ter konkurenčnost na slovenskem trgu.
Keywords:logistika, optimizacija, oskrbovalna veriga, projekt, trgovina
Place of publishing:Maribor
Year of publishing:2025
PID:20.500.12556/DKUM-92382 New window
COBISS.SI-ID:238983171 New window
Publication date in DKUM:11.06.2025
Views:269
Downloads:58
Metadata:XML DC-XML DC-RDF
Categories:FOV
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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:03.04.2025

Secondary language

Language:English
Title:Supply chain efficiency analysis of Engrotuš d. o. o.
Abstract:The supply chain analysis of Engrotuš d.o.o. is showed that the company manages its processes successfully, but is lagging in the area of technological improvements, which may have an impact on its long-term competitiveness. The most important challenges are in the area of transport optimisation routes, warehouse automation, improving demand forecasting and digitalisation inventory management. Artificial intelligence would enable the entire supply chains. However, comprehensive technological renewal is currently limited due to the owner's strategy, which is focused on selling the business itself. Therefore, no major short-term investment in digitisation is expected, which means that solutions will have to be introduced in a gradual and targeted manner. We recommend the introduction of pragmatic technological improvements that can be implemented without high investment optimise existing processes. This includes the digitisation of operations in warehouses, improvements in transport and analytical systems in the field of demand forecasting. Monitoring competition and progressive integration of cost-effective digital solutions will allow the company to continue to maintain business stability, and competitiveness on the Slovenian market.
Keywords:logistics, optimisation, project, supply chain, trade


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