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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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ISO Certification: 9001:2015
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 8

Published on: August 2026

MULTI-SCALE SUPPLY-CHAIN INTELLIGENCE THROUGH AI, FKF SPECTRAL ANALYSIS, AND QUANTUM OPTIMIZATION

Shubham S Shinde S M

Mathematics/ Govt College of Engg / Karad

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Global supply chains now fail in coupled ways: demand shocks travel with lead-time resonance, cyber events travel with physical delays, and energy-system constraints travel with freight capacity. Artificial intelligence is widely proposed as the instrument that turns those couplings into forecasts and then into mitigation. This paper reconstructs a systematic-style review, a conceptual framework, and a research agenda from a closed corpus of twenty-five publications spanning digital twins, green logistics analytics, blockchain enabled transparency, Industry 5.0, IoT–AI–quantum convergence, quantum annealing for disruption, spectral and distributional transforms of multi-echelon dynamics, and adjacent work on electric-mobility energy systems and infrastructure security. The synthesis organizes AI contributions along the four classical supply-chain risk-management stages identification, assessment, mitigation, and monitoring and overlays three enabling layers: (i) sensing and human machine interaction, (ii) computational intelligence including quantum and spectral methods, and (iii) energy-and-infrastructure constraints that make logistics risk material.

Keywords— supply chain risk management; supply chain resilience; artificial intelligence; digital twin; FKF transform; FKL transform; spectral analysis; multi-echelon lead time; quantum optimization; quantum annealing; blockchain traceability; Industry 5.0; Internet of Things; green logistics; electric mobility

How to Cite this Paper

S, S. & M, S. S. (2026). Multi-Scale Supply-Chain Intelligence through AI, FKF Spectral Analysis, and Quantum Optimization. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.281

S, Shubham, and Shinde M. "Multi-Scale Supply-Chain Intelligence through AI, FKF Spectral Analysis, and Quantum Optimization." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 8, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i8.281.

S, Shubham, and Shinde M. "Multi-Scale Supply-Chain Intelligence through AI, FKF Spectral Analysis, and Quantum Optimization." International Journal of Creative and Open Research in Engineering and Management 02, no. 8 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i8.281.

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References


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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Aug 31 2026
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