DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings CLC 2023 - Carpathian Logistics Congress
ISBN
978-80-88365-17-4
ISSN
2694-9318
e-ISSN
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Number of pages
6
Pages from-to
7-12
Publisher name
TANGER Ltd.
Place of publication
Ostrava
Event location
Prague
Event date
Nov 8, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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