Synchronization of fractional order supply chain model and financial model

A supply chain model's interaction with economic forces can be better understood by integrating a financial model with it. In the present article, a fractional-order financial model is synchronized with the fractional-order supply chain model to understand their interplay. The fractional order supply chain model is used as a drive system, and the fractional order financial model is used as a response system. A nonlinear controller has been designed for the synchronisation of both models. The synchronization of the two dynamical systems is achieved through the application of the Adams-Bashforth-Moulton method. The synchronisation of these models offers a deeper understanding of the complex interdependencies and highlights potential opportunities and dangers related to the supply chain in the context of supply chain analytics. The findings of this study have important insights into the area of supply chain management and decision making.

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Publication Details

Journal
Mathematical Foundations of Computing
Published
2024-12-19
DOI
https://doi.org/10.3934/mfc.2024050
Citations
2
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
1.42
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article

Synchronization of fractional order supply chain model and financial model

Vivek Mishra, Saurabh Agrawal, Sarit Maitra
2 citations
Mathematical Foundations of Computing
Fuzzy Systems and Optimization
1.42
article

Synchronization of fractional order supply chain model and financial model

Vivek Mishra, Saurabh Agrawal, Sarit Maitra
article en
2 citations

Abstract

A supply chain model's interaction with economic forces can be better understood by integrating a financial model with it. In the present article, a fractional-order financial model is synchronized with the fractional-order supply chain model to understand their interplay. The fractional order supply chain model is used as a drive system, and the fractional order financial model is used as a response system. A nonlinear controller has been designed for the synchronisation of both models. The synchronization of the two dynamical systems is achieved through the application of the Adams-Bashforth-Moulton method. The synchronisation of these models offers a deeper understanding of the complex interdependencies and highlights potential opportunities and dangers related to the supply chain in the context of supply chain analytics. The findings of this study have important insights into the area of supply chain management and decision making.

Mathematical Foundations of ComputingVol. 8(4)
Alliance University (IN), Bharati Vidyapeeth (Deemed to be University) (IN)
Openalex Percentile: Top 16%
Fuzzy Systems and Optimization
1.42
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