Intelligent ULD Configuration Using Quantum Annealing, Artificial Intelligence, and Digital Twins

V, Kanade U; M, Shinde S; Sharma, V A

doi:https://doi.org/10.55041/ijcope.v2i8.244

Published on: August 2026

INTELLIGENT ULD CONFIGURATION USING QUANTUM ANNEALING, ARTIFICIAL INTELLIGENCE, AND DIGITAL TWINS

Kanade U V Shinde S M V A Sharma

² Prof Mathematics/ Govt College of Engg / Karad
³ Prof and Head, Department of Mathematics, Smt. Narsamma Arts, Commerce and Science college, Amravati 444606

DOI:https://doi.org/10.55041/ijcope.v2i8.244

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Abstract

The increasing complexity of air-cargo operations requires efficient methods for optimizing ULD configuration under multiple operational, structural, and geometric constraints. This study presents a quantum annealing-based optimization framework for ULD selection and placement, formulated as a QUBO problem. The proposed approach maximizes cargo revenue and payload utilization while simultaneously considering aircraft weight and volume limits, center-of-gravity requirements, floor-loading and shear constraints, ULD compatibility, stacking rules, and fuselage packing limitations. A two-phase strategy is introduced in which high-value ULDs are first selected and subsequently positioned within feasible aircraft bays. Classical heuristic solutions can be used to initialize the optimization, while quantum annealing and reverse annealing provide opportunities for refining complex configurations. The framework is further connected with Artificial Intelligence, Digital Twins, IoT, and intelligent transportation systems to support real-time monitoring, scenario evaluation, disruption management, and adaptive decision-making. The proposed integration demonstrates how hybrid quantum-classical optimization can address computationally intensive cargo-loading problems while improving payload utilization, operational efficiency, safety, and supply-chain resilience. The study provides a foundation for future development of scalable quantum-enhanced optimization systems for intelligent and resilient air-cargo logistics

How to Cite this Paper

V, K. U., M, S. S. & Sharma, V. A. (2026). Intelligent ULD Configuration Using Quantum Annealing, Artificial Intelligence, and Digital Twins. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(8), 1-9. https://doi.org/10.55041/ijcope.v2i8.244

V, Kanade, et al.. "Intelligent ULD Configuration Using Quantum Annealing, Artificial Intelligence, and Digital Twins." 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.v2i8.244.

V, Kanade,Shinde M, and V Sharma. "Intelligent ULD Configuration Using Quantum Annealing, Artificial Intelligence, and Digital Twins." 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.v2i8.244.

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•Published on: Aug 27 2026

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