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International Journal of Creative and Open Research in Engineering and Management

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ISSN: 3108-1754 (Online)
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Volume 02, Issue 9

Published on: September 2026

LAYERED SPECTRAL–QUANTUM DECISION ARCHITECTURE FOR CONSTRAINED LOGISTICS RESILIENCE

V. A. Sharma U V Kanade S M Harle

Department of Mathematics, Smt. Narsamma Arts, Commerce and Science college, Amravati 444606
DOI:https://doi.org/10.55041/ijcope.v2i9.015

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Abstract

Resilient logistics now has to absorb irregular lead times, energy ceilings, unit-load conflicts, and contested custody at the same time. This article assembles a layered decision architecture in which two-sided FKF/FKL spectra diagnose multi-echelon traces, a digital twin carries the synchronized state, and a QUBO / quantum-annealing kernel proposes unit-load-device recoveries that remain inside an energy-aware, human-gated feasible set. Shift-invariant and exponentially modulated identities keep clock offset and intensity drift from being misread as structural change; distributional pairing on a testing-function space and sequential convergence allow bursty Internet of Things packets to update the twin without a regime reset. Hash-chain provenance and a power-line-carrier integrity bit separate physical compromise from ordinary telemetry faults. Industry 5.0 swipe authorization remains a distinct layer: prediction is not release. The paper specifies professional equations, a constraint-gated Hamiltonian, an evaluation protocol against classical heuristics, and indicator language for later yard trials. Adjacent artificial-intelligence and digital-twin studies in engineered materials and processing are cited only as methodological parallels, not as logistics evidence.

Keywords— Supply chain resilience; Quantum logistics; Quantum annealing; QUBO optimization; Unit-load-device configuration; FKF transform; FKL transform; Digital twins; Artificial intelligence; Blockchain traceability; Intelligent transportation systems; Sustainable logistics; Energy-aware logistics; Industry 5.0; Disruption management.

How to Cite this Paper

Sharma, V. A., Kanade, U. V. & Harle, S. M. (2026). Layered Spectral–Quantum Decision Architecture for Constrained Logistics Resilience. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.015

Sharma, V., et al.. "Layered Spectral–Quantum Decision Architecture for Constrained Logistics Resilience." 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.v2i9.015.

Sharma, V.,U Kanade, and S Harle. "Layered Spectral–Quantum Decision Architecture for Constrained Logistics Resilience." 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.v2i9.015.

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References


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  • Gulhane, “Digital Twin Technology for Building Resilient and Adaptive Global Supply Chains: A Review,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 6, Issue 12, 2024. DOI: 10.56726/IRJMETS64992. Google Scholar

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  • •Published on: Sep 03 2026
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