DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F14%3A00602462" target="_blank" >RIV/67985556:_____/14:00602462 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.37904/clc.2023.4819" target="_blank" >http://dx.doi.org/10.37904/clc.2023.4819</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.37904/clc.2023.4819" target="_blank" >10.37904/clc.2023.4819</a>

Jazyk výsledku

angličtina

Název v původním jazyce

DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH

Popis výsledku v původním jazyce

In our prior research, we formulated a technique for planning distribution strategy amid future uncertainties. Conventional planning methods, which involve designing potential scenarios and defining probabilities, frequently face difficulties because of unforeseeable future events. Suboptimal strategies can emerge if the probabilities were assigned incorrectly at the beginning. The contribution of this article is a new method that avoids making rigid assumptions about the exact probability of each future scenario. Instead, it explores the entire allowable probability space and selects an optimal strategy in most situations. In the case study, the method’s usability is shown on a real-world company operating in Prague. We use it to model the impact of a city policy on the company’s operations within the city limits. Due to the frequent traffic restrictions in other major European cities and the overall trend of following more environmentally friendly policies, Prague is also expected to take this path. Accordingly, the company's operations could be significantly affected. By utilizing historical delivery data from the company and specialized simulation software, we model diverse distribution network scenarios under potential traffic restrictions, already in effect in other European cities, and probabilistically assess the future the company is facing.

Název v anglickém jazyce

DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH

Popis výsledku anglicky

In our prior research, we formulated a technique for planning distribution strategy amid future uncertainties. Conventional planning methods, which involve designing potential scenarios and defining probabilities, frequently face difficulties because of unforeseeable future events. Suboptimal strategies can emerge if the probabilities were assigned incorrectly at the beginning. The contribution of this article is a new method that avoids making rigid assumptions about the exact probability of each future scenario. Instead, it explores the entire allowable probability space and selects an optimal strategy in most situations. In the case study, the method’s usability is shown on a real-world company operating in Prague. We use it to model the impact of a city policy on the company’s operations within the city limits. Due to the frequent traffic restrictions in other major European cities and the overall trend of following more environmentally friendly policies, Prague is also expected to take this path. Accordingly, the company's operations could be significantly affected. By utilizing historical delivery data from the company and specialized simulation software, we model diverse distribution network scenarios under potential traffic restrictions, already in effect in other European cities, and probabilistically assess the future the company is facing.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings CLC 2023 - Carpathian Logistics Congress

ISBN

978-80-88365-17-4

ISSN

2694-9318

e-ISSN

—

Počet stran výsledku

6

Strana od-do

7-12

Název nakladatele

TANGER Ltd.

Místo vydání

Ostrava

Místo konání akce

Prague

Datum konání akce

8. 11. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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