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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 8

Published on: August 2026

ARTIFICIAL INTELLIGENCE-ENABLED DIGITAL TWINS WITH FKF SPECTRAL ANALYSIS FOR ADAPTIVE AND RESILIENT LOGISTICS

Kanade U V Shinde S M V A Sharma

Prof Mathematics/ Govt College of Engg / Karad
Prof and Head, Department of Mathematics, Smt. Narsamma Arts, Commerce and Science college, Amravati 444606

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Plagiarism Passed Peer Reviewed Open Access

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Abstract

The increasing complexity and uncertainty of global supply chains require adaptive logistics systems capable of continuously sensing, analysing, predicting, and responding to changing operational conditions. This study proposes an integrated Digital Twin–FKF transform framework for intelligent and resilient logistics, combining Digital Twins, IoT, AI, sustainable mobility, and quantum optimization with spectral analysis. Digital Twins provide dynamic representations of logistics assets and processes, enabling real-time synchronization and disruption scenario evaluation, while IoT and AI support intelligent monitoring, prediction, and decision-making. The FKF transform provides a joint temporal–scale spectral representation of supply-chain signals, This study introduces an FKF-enabled intelligent supply-chain framework integrating AI, Blockchain, IoT, Digital Twins, and quantum optimization. FKF spectral analysis captures shifts, modulation, multiscale behavior, and lead-time dynamics, providing features for AI-based prediction and resilience assessment.

How to Cite this Paper

V, K. U., M, S. S. & Sharma, V. A. (2026). Artificial Intelligence-Enabled Digital Twins with FKF Spectral Analysis for Adaptive and Resilient Logistics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-10. https://doi.org/10.55041/ijcope.v2i8.246

V, Kanade, et al.. "Artificial Intelligence-Enabled Digital Twins with FKF Spectral Analysis for Adaptive and Resilient Logistics." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-10. doi:https://doi.org/10.55041/ijcope.v2i8.246.

V, Kanade,Shinde M, and V Sharma. "Artificial Intelligence-Enabled Digital Twins with FKF Spectral Analysis for Adaptive and Resilient Logistics." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-10. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.246.

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References


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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Aug 27 2026
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