Applying the lexicographic maximum solution of min-product fuzzy relational inequalities for finding the optimal pricing with a fixed priority in a supply chain system

Fuzzy relational inequalities composed by the min-product operation are established to model the optimal pricing with fixed priority in a single product supply chain system. The solution algorithm has been proposed for solving such an optimization problem and finding the optimal solution (is called...

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Bibliographic Details
Published inIranian journal of fuzzy systems (Online) Vol. 21; no. 1; p. 19
Main Authors Yan-Kuen Wu, Ching Feng Weng, Yuan Teng Hsu, Wang, Ming Xian
Format Journal Article
LanguageEnglish
Published Zahedan University of Sistan and Baluchestan, Iranian Journal of Fuzzy Systems 01.01.2024
Subjects
Algorithms
Commodities
Linear programming
Optimization
Suppliers
Supply chains
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Summary:Fuzzy relational inequalities composed by the min-product operation are established to model the optimal pricing with fixed priority in a single product supply chain system. The solution algorithm has been proposed for solving such an optimization problem and finding the optimal solution (is called lexicographic maximum solution). In this study, a novel approach is proposed to finding the optimal pricing with fixed priority in a single product supply chain system. This approach is based on new properties of solution set in a min-product fuzzy relational inequality. These new properties allow us directly determine the optimal value of variable without many duplicate checks in the solution procedure. A numerical example is provided to illustrate the procedure.
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ISSN:1735-0654
2676-4334
DOI:10.22111/ijfs.2023.44035.7759