Published on: September 2026
FKF–FKL SPECTRAL ANALYSIS AND QUANTUM OPTIMIZATION FOR INTELLIGENT AND RESILIENT LOGISTICS
V. A. Sharma
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Abstract
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. (2026). FKF–FKL Spectral Analysis and Quantum Optimization for Intelligent and Resilient Logistics. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(9), 1-9. https://doi.org/10.55041/ijcope.v2i9.007
Sharma, V.. "FKF–FKL Spectral Analysis and Quantum Optimization for Intelligent and Resilient Logistics." 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.v2i9.007.
Sharma, V.. "FKF–FKL Spectral Analysis and Quantum Optimization for Intelligent and Resilient Logistics." 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.v2i9.007.
References
- SM Harle,“Artificial Intelligence for Supply Chain Risk Prediction and Mitigation: A Systematic Review, Conceptual Framework, and Future Research Agenda,” International Research Journal of Modernization in Engg Technology and Science, Vol. 8, pp. 70–80, July 2026.
- SM Harle, “Artificial Intelligence-Driven Framework for Village-Level Water Conservation and Groundwater Sustainability,” International Research Journal of Modernization in Engg Tech and Science, Vol. 8, pp. 31–49, July 2026.
- M. Harle et al., “Artificial Intelligence Approaches for Strength Prediction and Optimization of Composite Concrete Mixtures: A Systematic Review and Future Research Framework,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 81–97, July 2026.
- M. Harle et al., “Artificial Intelligence-Based Pavement Crack Detection: A Comprehensive Review of Machine Learning and Deep Learning Techniques,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 50–69, July 2026.
- M. Harle et al., “Digital Twins and Artificial Intelligence for Sustainable Textile Raw Material Processing,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 8, pp. 14–30, July 2026.
- Harle SM, “Investigation of Mechanical Behavior of Steel Fiber-Reinforced Geopolymer Concrete Under ulti-Axial Stress Conditions,” Hydraulic and Civil Engineering Technology IX: Proceedings of the 9th International Technical Conference on Frontiers of HCET, Sanya, China, SAGE Publications, 25-27 Sept pp 555-561 , 2024
- 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
- Gulhane, “Artificial Intelligence Applications in Sustainable Logistics and Green Supply Chain Management: A Bibliometric Review,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 6, Issue 12, 2024. DOI: 10.56726/IRJMETS65006. Google Scholar
- Gulhane, “Artificial Intelligence and Blockchain Integration for Enhancing Supply Chain Transparency, Traceability, and Resilience,” International Research Journal of Modernization in Engineering Technology and Science, Vol. 6, Issue 12, 2024. DOI: 10.56726/IRJMETS65016. Google Scholar
- Gulhane. (2014). Swipe Controller. International Journal of Research in Engineering and Applied Sciences (IJREAS), 4(12), 1–7. Google Scholar
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- •Published on: Sep 03 2026
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