Digital Twin–Driven Supply Chain Resilience Through Fourier–Kontorovich–Lebedev Spectral Analysis

A, Sharma V; M, Shinde S; M, Harle S

doi:https://doi.org/10.55041/ijcope.v2i8.214

Volume 02, Issue 8

Published on: August 2026

DIGITAL TWIN–DRIVEN SUPPLY CHAIN RESILIENCE THROUGH FOURIER–KONTOROVICH–LEBEDEV SPECTRAL ANALYSIS

Sharma V A Shinde S M Harle S M

Department of Mathematics, Smt. Narsamma Arts, Commerce and Science college, Amravati 444606

DOI:https://doi.org/10.55041/ijcope.v2i8.214

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Abstract

A convergent supply-chain architecture is proposed by integrating Digital Twins with Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), quantum computing, and FKF spectral analysis to address the growing complexity, uncertainty, and disruption risks in modern logistics. Digital Twins enable real-time virtual representation, simulation, monitoring, and disruption-response analysis, while AI extracts predictive and prescriptive intelligence from continuous IoT-generated data. Blockchain strengthens data integrity, transparency, security, and end-to-end traceability across supply-chain transactions. Quantum annealing supports computationally intensive logistics optimization problems, including routing, resource allocation, scheduling, and ULD configuration. FKF-based spectral features provide a mathematical representation of shifts, modulation effects, lead-time behavior, transient variations, and multiscale supply-chain dynamics. The integration of these complementary technologies enables information to flow from real-time sensing and trusted data management to spectral analysis, predictive intelligence, simulation, and advanced optimization. Together, the proposed architecture provides an adaptive, intelligent, sustainable, and resilient framework for monitoring supply-chain conditions, anticipating disruptions, evaluating alternative decisions, and improving overall logistics performance.

How to Cite this Paper

A, S. V., M, S. S. & M, H. S. (2026). Digital Twin–Driven Supply Chain Resilience Through Fourier–Kontorovich–Lebedev Spectral Analysis. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.214

A, Sharma, et al.. "Digital Twin–Driven Supply Chain Resilience Through Fourier–Kontorovich–Lebedev Spectral Analysis." 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.v2i8.214.

A, Sharma,Shinde M, and Harle M. "Digital Twin–Driven Supply Chain Resilience Through Fourier–Kontorovich–Lebedev Spectral Analysis." 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.v2i8.214.

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References

B. Almeida, “Product and convolution theorems for the fractional Fourier transform,” IEEE Signal Processing Letters, vol. 4, pp. 15–17, 1997.

Karhunen, K. (1947). Über lineare Methoden in der Wahrscheinlichkeitsrechnung. Annales Academiae Scientiarum Fennicae. Series A. I, Mathematica-Physica, 37, 1–79.

Loève, M. (1978). Probability Theory II (4th ed.). Springer-Verlag.

Gulhane, A. (2014). Swipe Controller. International Journal of Research in Engineering and Applied Sciences (IJREAS), 4(12), 1–7.

Akarshan Gulhane, “Navigating the Quantum Revolution in Logistics: Opportunities and Practical Applications in Supply Chain Management,” International Journal of Engineering and Techniques (IJET), Vol. 12, pp. 553–556, 2026. DOI:

10.29126/ijet.2026.v12.i3.553 [1, 2]

Akarshan Gulhane, “Quantum Computing for Logistics Optimization: Annealing in Unit Load Device Configuration and Disruption,” International Journal of Research Publication and Reviews, Vol. 7, Issue 6, pp. 4643–4648, June 2026. DOI: 10.55248/gengpi.07.0626.16a57.

Akarshan Gulhane, “Smart Mobility and Intelligent Transportation Systems: Emerging Trends, Technologies, and Challenges,” International Journal of Scientific Research in Engineering and Management (IJSREM), Vol. 9, Issue 11, Nov. 2025. DOI: 10.55041/IJSREM53436.

Akarshan Gulhane, “Recent Advances in Electric Vehicle Battery Technologies: Materials, Management Systems, and Sustainability Perspectives,” International Journal of Scientific Research in Engineering and Management (IJSREM), Vol. 9, Issue 7, Jul. 2025. DOI: 10.55041/IJSREM51198.

Akarshan Gulhane, “Quantum Computing in Transportation and Logistics: Current State, Industrial Applications, and Future Directions,” International Journal of Scientific Research in Engineering and Management (IJSREM), Vol. 9, Issue 9, Sep. 2025. DOI: 10.55041/IJSREM52469.

Akarshan Gulhane, “Solar-Assisted Electric Mobility: Design Framework and Performance Assessment of Sustainable Hybrid Vehicle Architectures,” Int. J. Engg. Res. & Sci. & Tech., Vol. 21, No. 3, pp. 362–368, 2025. DOI:56636/ijerst.2025.v21.i03.3594.

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