20.500.12556/DKUM-90809 Pametna dostava: optimizacija paketne dostave na Pošti 2310 Slovenska Bistrica diplomsko delo Smart delivery: optimization of parcel delivery at the Post office 2310 Slovenska Bistrica Pošta 2310 Slovenska Bistrica se pri organizaciji jutranje dostave spopada z izzivi zaradi pomanjkanja predhodnih informacij o količini ter namembnosti paketov in palet za dostavo in neoptimiziranih dostavnih poti pri popoldanskem pobiranju paketov. Te težave povzročajo neučinkovito razporeditev delovne sile, daljše čase dostave in višje stroške poslovanja, kar vpliva na zadovoljstvo strank in zaposlenih. Na podlagi analize trenutnega procesa dostave in pobiranja paketov, primerjave v količini prispelih paketov v jutranjem dohodu, primerjalne analize in uspešne uvedbe pametne dostave v drugih podjetjih ter analize SWOT, bomo v diplomskem delu predstavili in kritično ovrednotili predloge optimizacije paketne dostave in popoldanskega pobiranja paketov. Rešitve, kot so uvedba naprednih tehnologij, lahko bistveno izboljšajo poslovanje. Umetna inteligenca (angl. Artificial Intelligence; v nadaljevanju: AI), omogoča optimizacijo dostavnih poti, kar bi zmanjšalo stroške in povečalo učinkovitost. Internet stvari (angl. Internet of Things; v nadaljevanju:IoT), omogoča sprotno sledenje pošiljk, kar bi izboljšalo preglednost in natančnost dostave. Globalni sistemi pozicioniranja (angl Global Positioning System; v nadaljevanju: GPS) nameščeni v vozilih in na paketih, omogočajo zbiranje podatkov o lokaciji in stanju pošiljk, kar omogoča pravočasno prilagajanje dostavnih poti ter avtomatizacijo procesov. Analiza moči, slabosti, priložnosti, grožnje (angl. Strengths, Weaknesses, Opportunities, Threats, v nadaljevanju: SWOT) je pokazala, da ima Pošta 2310 Slovenska Bistrica močne točke, kot so zanesljivost storitev in usposobljeno osebje, a se mora spopasti s šibkostmi, kot sta pomanjkanje digitalizacije in ročno razvrščanje paketov. Na podlagi ugotovitev predlagamo implementacijo naprednih tehnologij, ki bi izboljšale učinkovitost, zmanjšale stroške in povečale zadovoljstvo strank ter konkurenčnost.  The Post Office 2310 Slovenska Bistrica faces challenges in organizing morning deliveries due to a lack of prior information about the quantity and destination of packages and pallets for delivery, as well as unoptimized delivery routes during afternoon package pickups. These issues lead to inefficient workforce allocation, longer delivery times, and higher operating costs, which impact customer and employee satisfaction. Based on an analysis of the current process for package delivery and pickup, a comparison of the quantity of packages arriving in the morning shipment, a comparative analysis, and the successful implementation of smart delivery in other companies, as well as a SWOT analysis, this thesis will present and critically evaluate proposals for optimizing package delivery and afternoon pickups. Solutions such as the introduction of advanced technologies can significantly improve operations. Artificial Intelligence (e.g., AI) allows for the optimization of delivery routes, which would reduce costs and increase efficiency. The Internet of Things (e.g., IoT) enables real-time tracking of shipments, improving the transparency and accuracy of deliveries. Global Positioning System (e.g., GPS), installed in vehicles and on packages, allows the collection of data on the location and condition of shipments, enabling timely adjustments to delivery routes and the automation of processes. The Strengths, Weaknesses, Opportunities, Threats (e.g., SWOT) analysis showed that Post Office 2310 Slovenska Bistrica has strengths such as reliable services and a well-trained workforce, but it must address weaknesses like a lack of digitalization and manual sorting of packages. Based on these findings, we recommend implementing advanced technologies to improve efficiency, reduce costs, and increase customer satisfaction and competitiveness. distribucija paketov pametna dostava Pošta 2310 Slovenska Bistrica package distribution smart delivery Post office 2310 Slovenska Bistrica true true false T. Sivka Slovenski jezik Angleški jezik Diplomsko delo/naloga 2024-09-24 16:04:56 2024-11-27 15:30:41 2024-11-28 03:18:27 0000-00-00 00:00:00 2024 0 Celje 0 Celje XIII, 55 str. 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 656.8:005:004(043.2) 216730627 VS_Sivka_Tanja_2024.pdf VS_Sivka_Tanja_2024.pdf 1 FA5A36A24E54AC00F71848883AB6CF54 b4e77a700adcd831de032ebaf7a71f1eddc60d51c4224570f7a7dd636fd6e197 c9e5e063-7a7e-11ef-b3a0-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=185822 Fakulteta za logistiko 0 0 0