Incorporating Fully Fuzzy Logic in Multi-Objective Transshipment Problems: A Study of Alternative Path Selection Using LR Flat Fuzzy Numbers
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258372" target="_blank" >RIV/61989100:27230/25:10258372 - isvavai.cz</a>
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001536438700001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001536438700001</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.32604/cmes.2025.063996" target="_blank" >10.32604/cmes.2025.063996</a>
Alternative languages
Result language
angličtina
Original language name
Incorporating Fully Fuzzy Logic in Multi-Objective Transshipment Problems: A Study of Alternative Path Selection Using LR Flat Fuzzy Numbers
Original language description
In a world where supply chains are increasingly complex and unpredictable, finding the optimal way to move goods through transshipment networks is more important and challenging than ever. In addition to addressing the complexity of transportation costs and demand, this study presents a novel method that offers flexible routing alternatives to manage these complexities. When real-world variables such as fluctuating costs, variable capacity, and unpredictable demand are considered, traditional transshipment models often prove inadequate. To overcome these challenges, we propose an innovative fully fuzzy-based framework using LR flat fuzzy numbers. This framework allows for more adaptable and flexible decision-making in multi-objective transshipment situations by effectively capturing uncertain parameters. To overcome these challenges, we develop an innovative, fully fuzzy-based framework using LR flat fuzzy numbers to effectively capture uncertainty in key parameters, offering more flexible and adaptive decisionmaking in multi-objective transshipment problems. The proposed model also presents alternative route options, giving decision-makers a range of choices to satisfy multiple requirements, including reducing costs, improving service quality, and expediting delivery. Through extensive numerical experiments, we demonstrate that the model can achieve greater adaptability, efficiency, and flexibility than standard approaches. This multi-path structure provides additional flexibility to adapt to dynamic network conditions. Using ranking strategies, we compared our multi-objective transshipment model with existing methods. The results indicate that, while traditional methods such as goal and fuzzy programming generate results close to the anti-ideal value, thus reducing their efficiency, our model produces solutions close to the ideal value, thereby facilitating better decision making. By combining dynamic routing alternatives with a fully fuzzybased approach, this study offers an effective tool to improve decision-making and optimize complex networks under real-world conditions in practical settings. In this paper, we utilize LINGO 18 software to solve the provided numerical example, demonstrating the effectiveness of the proposed method.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20300 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
CMES - Computer Modeling in Engineering and Sciences
ISSN
1526-1492
e-ISSN
1526-1506
Volume of the periodical
144
Issue of the periodical within the volume
1
Country of publishing house
US - UNITED STATES
Number of pages
43
Pages from-to
nestránkováno
UT code for WoS article
001536438700001
EID of the result in the Scopus database
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