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Article http://dx.doi.org/10.26855/acc.2023.12.006

AI Application in the Logistics Industry

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Xiaoqing Lei1,2, Qiaoge Hui3,*

1Xi'an Fanyi University, Xi'an, Shaanxi, China.

2Woosong University, Daejeon, South Korea.

3CAPF of Engineering University, Xi'an, Shaanxi, China.

*Corresponding author: Qiaoge Hui

Published: January 18,2024

Abstract

The impending decade heralds a transformative era where the pervasive integration of Artificial Intelligence (AI) presents a pivotal challenge to established scientific principles governing engineering and management in production and logistics. The evolution of transit and distribution centers, crucial nodes in logistics, undergoes significant shifts. This paper delves into an extensive literature review system within the logistics industry, focusing on AI applications. It specifically explores inventory management and proposes innovative logistics distribution transport solutions. These solutions hinge upon leveraging automation equipment and intelligent AI technology for resource scheduling management, catalyzing operational mode innovations, enabling real-time supervision, orchestrating intelligent integration construction, and other multifaceted functionalities. The primary objective is to instigate a profound transformation in logistics enterprises, facilitating an extensive upgrade towards heightened wisdom and efficiency in operational paradigms. This anticipates a comprehensive redefinition of logistics infrastructure and processes, fostering a forward-thinking and adaptable logistics ecosystem in the forthcoming era.

References

[1] N. Tsolakis, D. Zissis, S. Papaefthimiou, & N. Korfiatis. Towards AI-driven Environmental Sustainability: An Application of Automated Logistics in Container Port Terminals. International Journal of Production Research, vol. 60, no. 14, pp. 4508-4528, Jul. 2022, doi: 10.1080/00207543.2021.1914355.

[2] A. Bruzzone & A. Orsoni. AI and Simulation-Based Techniques for the Assessment of Supply Chain Logistic Performance. in 36th Annual Simulation Symposium, 2003., Mar. 2003, pp. 154-164. doi: 10.1109/SIMSYM.2003.1192809.

[3] M. Woschank, E. Rauch, & H. Zsifkovits. A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics. Sustainability, vol. 12, no. 9, Art. no. 9, Jan. 2020, doi: 10.3390/su12093760.

[4] S. Jagtap, F. Bader, G. Garcia-Garcia, H. Trollman, T. Fadiji, & K. Salonitis. Food Logistics 4.0: Opportunities and Challenges. Logistics, vol. 5, no. 1, Art. no. 1, Mar. 2021, doi: 10.3390/logistics5010002.

[5] M. Klumpp. Automation and Artificial Intelligence in Business Logistics Systems: Human Reactions and Collaboration Requirements. International Journal of Logistics Research and Applications, vol. 21, no. 3, pp. 224-242, May 2018, doi: 10.1080/13675567.2017.1384451.

[6] D. Loske & M. Klumpp. Human-AI Collaboration in Route Planning: An Empirical Efficiency-Based Analysis in Retail Logistics. International Journal of Production Economics, vol. 241, p. 108236, Nov. 2021, doi: 10.1016/j.ijpe.2021.108236.

[7] A. Bhargava, D. Bhargava, P. N. Kumar, G. S. Sajja, & S. Ray. Industrial IoT and AI Implementation in Vehicular Logistics and Supply Chain Management for Vehicle Mediated Transportation Systems. Int J Syst Assur Eng Manag, vol. 13, no. 1, pp. 673-680, Mar. 2022, doi: 10.1007/s13198-021-01581-2.

[8] M. H. Alkinani, A. A. Almazroi, M. Adhikari, & V. G. Menon. Artificial Intelligence-Empowered Logistic Traffic Management System Using Empirical Intelligent XGBoost Technique in Vehicular Edge Networks. IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 4, pp. 4499-4508, Apr. 2023, doi: 10.1109/TITS.2022.3145403.

[9] Dr. A. P. Pandian. Artificial Intelligence Application in Smart Warehousing Environment for Automated Logistics. JAICN, vol. 2019, no. 2, pp. 63-72, Dec. 2019, doi: 10.36548/jaicn.2019.2.002.

How to cite this paper

AI Application in the Logistics Industry

How to cite this paper: Xiaoqing Lei, Qiaoge Hui. (2023) AI Application in the Logistics Industry. Advances in Computer and Communication4(6), 378-382.

DOI: http://dx.doi.org/10.26855/acc.2023.12.006