Modeling transportation routes of the pick-up system using location problem: a case study
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F20%3A00002172" target="_blank" >RIV/75081431:_____/20:00002172 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.degruyter.com/document/doi/10.1515/eng-2020-0089/html" target="_blank" >https://www.degruyter.com/document/doi/10.1515/eng-2020-0089/html</a>
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Modeling transportation routes of the pick-up system using location problem: a case study
Popis výsledku v původním jazyce
In today’s increasingly globalizing world, the demand for the transport of more and more specific kinds of goods is constantly growing. Greater diversity of the objects of transport extends the range of consignees and consignors, which implies the reduction of the number and volume of consignments. Modern enterprises are no longer interested in mass supplies of large quantities of the same material but strive for flexible supplies of smaller quantities of specific materials out of more suppliers. This manuscript deals with the streamlining of specific transport-logistics processes, including a detailed analysis of the existing pick-up system in relation to transport serviceability of the certain territory starting in the city of České Budějovice (Czech Republic) and a determination of more effective variants for supply. The primary objective will be to find and analyze specific options for streamlining the processes being optimized using the selected method of the graph theory, namely the location problem. In the context of optimization, a specific case study is elaborated with the aim to increase the efficiency of the current pickup system, i.e. serviceability of a particular territory.
Název v anglickém jazyce
Modeling transportation routes of the pick-up system using location problem: a case study
Popis výsledku anglicky
In today’s increasingly globalizing world, the demand for the transport of more and more specific kinds of goods is constantly growing. Greater diversity of the objects of transport extends the range of consignees and consignors, which implies the reduction of the number and volume of consignments. Modern enterprises are no longer interested in mass supplies of large quantities of the same material but strive for flexible supplies of smaller quantities of specific materials out of more suppliers. This manuscript deals with the streamlining of specific transport-logistics processes, including a detailed analysis of the existing pick-up system in relation to transport serviceability of the certain territory starting in the city of České Budějovice (Czech Republic) and a determination of more effective variants for supply. The primary objective will be to find and analyze specific options for streamlining the processes being optimized using the selected method of the graph theory, namely the location problem. In the context of optimization, a specific case study is elaborated with the aim to increase the efficiency of the current pickup system, i.e. serviceability of a particular territory.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50703 - Transport planning and social aspects of transport (transport engineering to be 2.1)
Návaznosti výsledku
Projekt
<a href="/cs/project/LTC19009" target="_blank" >LTC19009: Autonomní mobilita v kontextu rozvoje regionu</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Open Engineering
ISSN
2391-5439
e-ISSN
—
Svazek periodika
10
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
PL - Polská republika
Počet stran výsledku
9
Strana od-do
784-792
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-85093085571