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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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Volume 02, Issue 8

Published on: August 2026

OPTIMIZATION CHALLENGES IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT

Kanade U V Shinde S M Harle S M

Prof Mathematics/ Govt College of Engg / Karad
DOI:https://doi.org/10.55041/ijcope.v2i8.242

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Abstract

Quantum computing offers transformative potential for addressing complex combinatorial optimization challenges in logistics and supply chain management. This paper presents a comprehensive investigation of quantum annealing and hybrid quantum-classical algorithms applied to unit load device (ULD) configuration and disruption management in air cargo and multimodal logistics networks. We formulate the ULD loading and placement problem as a Quadratic Unconstrained Binary Optimization (QUBO) model that incorporates weight, volume, center-of-gravity, structural stress, and compatibility constraints. A stratified hybrid architecture spanning physical quantum hardware, algorithmic middleware, and decision-support layers is proposed. Through extensive numerical experiments and comparison with classical solvers, we demonstrate superior payload utilization (up to 96.5%), favorable computational scaling, and rapid disruption recovery. Real-world industry pilots, including quantum-assisted route optimization achieving substantial carbon emission reductions and hybrid solutions at major ports, are analyzed. Results indicate that while noisy intermediate-scale quantum (NISQ) hardware limitations persist, hybrid approaches already deliver measurable gains in operational efficiency, cost reduction, and supply-chain resilience. The work provides a practical roadmap for near-term adoption of quantum technologies in high-stakes logistics environments.

 

Keywords— Digital Transformation; Artificial Intelligence; Internet of Things; Blockchain; Digital Twin Technology; Quantum Computing; Intelligent Logistics; Supply Chain Transparency; Sustainable Supply Chains; Resilience; Smart Mobility; Intelligent Transportation Systems; Connected Vehicles; Mobility-as-a-Service; Sustainable Transportation; Multi-Scale Spectral Analysis; FKF Transform.

How to Cite this Paper

V, K. U., M, S. S. & M, H. S. (2026). Optimization Challenges in Logistics and Supply Chain Management. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.242

V, Kanade, et al.. "Optimization Challenges in Logistics and Supply Chain Management." 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.v2i8.242.

V, Kanade,Shinde M, and Harle M. "Optimization Challenges in Logistics and Supply Chain Management." 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.v2i8.242.

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References


  1. Ohzeki et al., “Quantum annealing-based route optimization for commercial AGV operating systems in large-scale logistics warehouses,” Scientific Reports, 2025.

  2. Feld et al., “A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer,” Frontiers in ICT, 2019.

  3. Albash and D. A. Lidar, “Adiabatic quantum computation,” Reviews of Modern Physics, vol. 90, 015002, 2018.

  4. Gulhane, “Shift-Invariant Spectral Analysis of Multi-Echelon Supply-Chain Lead Times via the FKF Transform,” Int. J. Creative Open Res. Eng. Manage., vol. 2, no. 8, Aug. 2026, doi: 10.55041/ijcope.v2i8.136.

  5. Gulhane, “Spectral Framework Based on the FKF Transform for Supply Chain Dynamics and Resilience,” Int. J. Creative Open Res. Eng. Manage., vol. 2, no. 8, Aug. 2026, doi: 10.55041/ijcope.v2i8.140.

  6. Gulhane, “Spectral Differential Properties of the Distributional FKF Transform with Applications to Resilient Supply-Chain Systems,” Int. J. Creative Open Res. Eng. Manage., vol. 2, no. 8, Aug. 2026, doi: 10.55041/ijcope.v2i8.139.

  7. Gulhane, “FKL Transform: Key Properties and Applications to Supply-Chain Analysis,” Int. J. Eng. Sci. Adv. Technol., vol. 25, no. 12, pp. 596–605, Dec. 2025,


doi: 10.64771/ijesat.2025.v25.i12.3816.

  1. Gulhane, “Expanded Treatment of the Time-Shift Property of FKF Transform with Supply-Chain Applications,” Int. J. Eng. Sci. Adv. Technol., vol. 25, no. 12, pp. 606–616, Dec. 2025, doi: 10.64771/ijesat.2025.v25.i12.3817.

  2. Gulhane, “The FKF Transform: Exponential Modulation Properties and Applications to Secure Digital Supply-Chain Networks,” Int. J. Eng. Sci. Adv. Technol., vol. 25, no. 12, pp. 617–623, Dec. 2025, doi: 10.64771/ijesat.2025.v25.i12.3818.

  3. Harle, SM, & et al, “White Topping In Roads: Review”, Journal of Structural and Transportation Studies, Volume 1, Issue 3, 2016

  4. Harle, SM, & et al (2024, February). Durability and long-term performance of fiber reinforced polymer (FRP) composites: A review. In Structures (Vol. 60, p. 105881). Elsevier. 15

  5. Harle, SM, & et al (2024). Advancements and challenges in the application of artificial intelligence in civil engineering: a comprehensive review. Asian Journal of Civil Engineering, 25(1), 1061-1078. 16

  6. Gulhane, “Internet of Things, Artificial Intelligence, and Quantum Computing: A Convergent Framework for Smart Logistics Ecosystems,” Int. J. Eng. Sci. Adv. Technol. (IJESAT), vol. 24, no. 12, pp. 297–317, 2024, doi: 10.64771/ijesat.2024.v24.i12.3372.

  7. Gulhane, “Industry 5.0 and Intelligent Logistics: Transforming Supply Chain Operations through Human-Centric Automation,” Int. J. Eng. Sci. Adv. Technol. (IJESAT), vol. 24, no. 12, pp. 287–296, 2024, doi: 10.64771/ijesat.2024.v24.i12.3371.

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  • •Published on: Aug 27 2026
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