Designing an efficient transportation system under a constrained budget and cost uncertainty
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F23%3A94678" target="_blank" >RIV/60460709:41110/23:94678 - isvavai.cz</a>
Result on the web
<a href="https://mme2023.vse.cz/#" target="_blank" >https://mme2023.vse.cz/#</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Designing an efficient transportation system under a constrained budget and cost uncertainty
Original language description
We revisit a particular case of the traditional transportation problem of Hitchcock and Koopmans with multiple objective functions. We assume that the maintenance costs of each supplier influence the capacities on the suppliers side. Further, we assume that the maintenance costs are subject to uncertainty and can vary within a predefined range. We seek to design an optimal transportation system with respect to all objectives while arranging the capacities of the suppliers considering a given budget and uncertainty in the maintenance costs. We propose an algorithm based on the De Novo optimization concept, which yields an efficient constellation of the suppliers capacities under the constrained budget. To capture the uncertainty within the budget, we employ the concept of gamma-robust optimization. We illustrate the algorithm on a simple artificial case. It turns out that the proposed approach allows for efficient budget use and offers robust solutions that face the financial uncertainty of the decisionmaker.
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
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
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 of the 41st International Conference on Mathematical Methods in Economics
ISBN
978-80-11-04132-8
ISSN
2788-3965
e-ISSN
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Number of pages
6
Pages from-to
105-110
Publisher name
Czech Society for Operations Research
Place of publication
Praha
Event location
Prague
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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