FINDING AN OPTIMAL DISTRIBUTION STRATEGY PATH IN AN UNPREDICTABLE ENVIRONMENT
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00602460" target="_blank" >RIV/67985556:_____/24:00602460 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11230/24:10489528
Result on the web
<a href="https://hrcak.srce.hr/ojs/index.php/ekonomski-vjesnik/article/view/28402" target="_blank" >https://hrcak.srce.hr/ojs/index.php/ekonomski-vjesnik/article/view/28402</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.51680/ev.37.1.10" target="_blank" >10.51680/ev.37.1.10</a>
Alternative languages
Result language
angličtina
Original language name
FINDING AN OPTIMAL DISTRIBUTION STRATEGY PATH IN AN UNPREDICTABLE ENVIRONMENT
Original language description
This article introduces an innovative method designed to optimize distribution strategies with respect to future uncertainty. It goes beyond the limitations of traditional scenario-based planning that often leads to suboptimal strategies due to the unpredictability of future developments and the challenge of accurately assigning probabilities to these scenarios. Consequently, the method allows selection of the most economically viable future strategy
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ekonomski Vjesnik
ISSN
0353-359X
e-ISSN
1847-2206
Volume of the periodical
37
Issue of the periodical within the volume
1
Country of publishing house
HR - CROATIA
Number of pages
12
Pages from-to
139-150
UT code for WoS article
001250095200001
EID of the result in the Scopus database
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