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Naslov:Sustainable operations of last mile logistics based on machine learning processes
Avtorji:ID Oršič, Jerko (Avtor)
ID Jereb, Borut (Avtor)
ID Obrecht, Matevž (Avtor)
Datoteke:URL https://www.mdpi.com/2227-9717/10/12/2524/htm
 
.pdf Orsic,_Jereb,_Obrecht_Sustainable_Operations_of_Last_Mile_Logistics_Based_on.pdf (1,54 MB)
MD5: FAB64F8D09633F867E977D6DC521F348
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FL - Fakulteta za logistiko
Opis:The last-mile logistics is regarded as one of the least efficient, most expensive, and polluting part of the entire supply chain and has a significant impact and consequences on sustainable delivery operations. The leading business model in e-commerce called Attended Home Delivery is the most expensive and demanding when a short delivery window is mutually agreed upon with the customer, decreasing possible optimizing flexibility. On the other hand, last-mile logistics is changing as decisions should be made in real time. This paper is focused on the proposed solution of sustainability opportunities in Attended Home Delivery, where we use a new approach to achieve more sustainable deliveries with machine learning forecasts based on real-time data, different dynamic route planning algorithms, tracking logistics events, fleet capacities and other relevant data. The developed model proposes to influence customers to choose a more sustainable delivery time window with important sustainability benefits based on machine learning to predict accurate time windows with real-time data influence. At the same time, better utilization of vehicles, less congestion, and fewer failures at home delivery are achieved. More sustainable routes are selected in the preplanning process due to predicted traffic or other circumstances. Increasing time slots from 2 to 4 h makes it possible to improve travel distance by about 5.5% and decrease cost by 11% if we assume that only 20% of customers agree to larger time slots.
Ključne besede:supply chain management, real-time, home delivery, business modeling, e-commerce, time window
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:01.12.2022
Leto izida:2022
Št. strani:str. 1-17
Številčenje:Vol. 10, iss. 12, article no. 2524
PID:20.500.12556/DKUM-87098 Novo okno
UDK:005.51:004.85
COBISS.SI-ID:131755011 Novo okno
DOI:10.3390/pr10122524 Novo okno
ISSN pri članku:2227-9717
Datum objave v DKUM:19.02.2024
Število ogledov:149
Število prenosov:19
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Processes
Skrajšan naslov:Processes
Založnik:MDPI AG
ISSN:2227-9717
COBISS.SI-ID:523353113 Novo okno

Gradivo je financirano iz projekta

Financer:EC - European Commission
Program financ.:European Union-Next Generation EU
Številka projekta:3330-22-3519
Naslov:Establishing an environment for green and digital logistics and supply chain education
Akronim:NOO

Financer:Drugi - Drug financer ali več financerjev
Program financ.:The Ministry of Higher Education, Science, and Innovation
Številka projekta:3330-22-3519
Naslov:Establishing an environment for green and digital logistics and supply chain education
Akronim:NOO

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:organizacija časovnih verig, realni čas, dostava na dom, poslovno modeliranje, časovni okvir


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