Volume 02, Issue 9
Published on: September 2026
IOT-ENABLED FKF–FKL SPECTRAL ANALYSIS FOR INTELLIGENT AND RESILIENT SUPPLY CHAINS
V. A. Sharma
Department of Mathematics, Smt. Narsamma Arts, Commerce and Science college, Amravati
Article Status
Plagiarism Passed
Peer Reviewed
Open Access
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Abstract
Modern multi-echelon supply chains generate heterogeneous Internet of Things (IoT) telemetry containing lead-time fluctuations, irregular sampling, transportation delays, intensity variations, and operational disruptions. This study proposes an FKF–FKL spectral framework for constrained resilience analysis that separates observational effects from genuine structural change. Fourier analysis captures temporal dynamics, while the Kontorovich–Lebedev (FKL) representation characterizes scale-dependent behavior. Shift-invariant properties distinguish temporal displacement from structural change, whereas exponential modulation and spectral differentials characterize intensity variation and localized disruptions. A distributional formulation on a testing-function space accommodates irregular IoT observations, and sequential convergence of the two-sided FKF transform supports continuous spectral-state updating inside digital twins. Compact spectral features feed resilience scoring, AI-based decision-making, green logistics and sustainable mobility planning, hash-chain (blockchain) provenance, and hybrid quantum-classical logistics optimization (quantum annealing / QUBO). The framework provides an interpretable route for detecting and classifying disturbances across procurement, production, warehousing, unit-load-device handling, and intelligent transportation systems under Industry 5.0 human-centric automation.
Keywords— FKF/FKL transforms;; sequential convergence; testing-function spaces; time-shift/modulation; residue resonance; shift-invariant spectral analysis; multi-echelon lead times; resilient supply chains; digital twins; green logistics; blockchain/hash-chain traceability; swipe control; quantum logistics/annealing; QUBO–ULD optimization; IoT; intelligent transportation; Industry 5.0; human-centric automation; hybrid-electric/solar EV mobility; battery sizing; power-line communication; anti-theft; disruption detection; anomaly diagnosis..
How to Cite this Paper
Sharma, V. A. (2026). IOT-Enabled FKF–FKL Spectral Analysis for Intelligent and Resilient Supply Chains. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.010
Sharma, V.. "IOT-Enabled FKF–FKL Spectral Analysis for Intelligent and Resilient Supply Chains." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 9, 2026, pp. 1-9. doi:https://doi.org/10.55041/ijcope.v2i9.010.
Sharma, V.. "IOT-Enabled FKF–FKL Spectral Analysis for Intelligent and Resilient Supply Chains." International Journal of Creative and Open Research in Engineering and Management 02, no. 9 (2026): 1-9. https://doi.org/https://doi.org/10.55041/ijcope.v2i9.010.
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