Logistics 4.0: Exploring Artificial Intelligence Trends in Efficient Supply Chain Management
DOI:
https://doi.org/10.56294/dm2023145Keywords:
Logistics 4.0, Artificial Intelligence, Supply ChainAbstract
Introduction: in the current era of globalization and digitalization, international logistics faces unique challenges and opportunities. The growing demand for efficient supply chain management, combined with the need to reduce costs and improve services, has led to the adoption of advanced technologies such as Artificial Intelligence (AI). AI has become a key catalyst in the transformation of logistics, giving way to what is known as Logistics 4.0. This paper explores the most recent trends of AI in international logistics and its integration into education, with a specific focus on the San Mateo University Foundation.
Methods: this mixed study, combining qualitative and quantitative methods, begins with quantitative data collection and analysis, followed by a qualitative phase. The qualitative approach focuses on students' perceptions of logistics training, while the quantitative approach describes how they perceive AI tools. The research included students and companies in Bogota, analyzing their familiarity with AI and its implementation in practice.
Results: the findings indicate that AI is increasingly relevant in logistics, especially in process automation and data-driven decision making. Most companies surveyed have a good understanding of AI, but less than half implement it in their operations. Students recognize the importance of AI in logistics and its positive impact on education. There is consensus on the role of AI in improving educational quality, highlighting its usefulness in optimizing processes and personalizing learning.
Conclusions: the research highlights the crucial role of AI in modern logistics and its ability to improve operational efficiency. The integration of AI in international business education is critical to enrich students' learning experience and prepare them for the challenges of the labor market. The blended methodology used is effective in gaining a holistic view of AI integration in logistics and its educational impact. The conclusions provide guidelines for curriculum development in international business with a focus on international logistics, aligning curricula with emerging trends in logistics and AI
References
1. Ouyang F, Jiao P. Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence 2021;2:100020. https://doi.org/10.1016/j.caeai.2021.100020.
2. Luan H, Geczy P, Lai H, Gobert J, Yang SJH, Ogata H, et al. Challenges and Future Directions of Big Data and Artificial Intelligence in Education. Frontiers in Psychology 2020;11.
3. Woschank M, Rauch E, Zsifkovits H. A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics. Sustainability 2020;12:3760. https://doi.org/10.3390/su12093760.
4. Klumpp M. Automation and artificial intelligence in business logistics systems: human reactions and collaboration requirements. International Journal of Logistics Research and Applications 2018;21:224-42. https://doi.org/10.1080/13675567.2017.1384451.
5. Zhang Y. The application of artificial intelligence in logistics and express delivery. J Phys: Conf Ser 2019;1325:012085. https://doi.org/10.1088/1742-6596/1325/1/012085.
6. Tique DH, Ordoñez JJP, Cano CAG. How do technology equipment companies implement new billing strategies? Metaverse Basic and Applied Research 2022;1:15-15. https://doi.org/10.56294/mr202215.
7. Soledispa GBL, Cañarte BJS, Soledispa VAC, González ORF. Análisis de la Cadena de Suministros en las empresas industriales de Guayaquil, Ecuador. Revista Científica Empresarial Debe-Haber 2023;1:3-24.
8. Jinchuña-Huallpa J, Fernández-Sosa LE. Normativa de la estructura de control interno que afecta la calidad de gestión en la etapa de liquidación de obras del Gobierno Regional de Tacna. Sincretismo 2020;1.
9. Winkelhaus S, Grosse EH. Logistics 4.0: a systematic review towards a new logistics system. International Journal of Production Research 2020;58:18-43. https://doi.org/10.1080/00207543.2019.1612964.
10. Oleśków-Szłapka J, Stachowiak A. The Framework of Logistics 4.0 Maturity Model. En: Burduk A, Chlebus E, Nowakowski T, Tubis A, editores. Intelligent Systems in Production Engineering and Maintenance, Cham: Springer International Publishing; 2019, p. 771-81. https://doi.org/10.1007/978-3-319-97490-3_73.
11. Wang K. Logistics 4.0 Solution-New Challenges and Opportunities, Atlantis Press; 2016, p. 68-74. https://doi.org/10.2991/iwama-16.2016.13.
12. Tito YMG, López LNQ, Gamboa AJP. Metaverse and education: a complex space for the next educational revolution. Metaverse Basic and Applied Research 2023;2:56-56. https://doi.org/10.56294/mr202356.
13. Evtodieva TE, Chernova DV, Ivanova NV, Kisteneva NS. Logistics 4.0. En: Ashmarina S, Vochozka M, editores. Sustainable Growth and Development of Economic Systems: Contradictions in the Era of Digitalization and Globalization, Cham: Springer International Publishing; 2019, p. 207-19. https://doi.org/10.1007/978-3-030-11754-2_16.
14. Timm IJ, Lorig F. Logistics 4.0 - A challenge for simulattion. 2015 Winter Simulation Conference (WSC), 2015, p. 3118-9. https://doi.org/10.1109/WSC.2015.7408428.
15. Toza JFP, Paniagua DGC. Responsabilidad social empresarial y calidad de servicio en una Caja Municipal de Ahorro y Crédito de la región Tacna. Sincretismo 2021;2.
16. Lizcano PAC, Quintero YCM, Cano CAG. Análisis del impacto en la implementación de la facturación electrónica en el sector automotriz en la ciudad de Florencia, Caquetá. Revista Científica Empresarial Debe-Haber 2023;1:25-40.
17. Richey Jr. RG, Chowdhury S, Davis-Sramek B, Giannakis M, Dwivedi YK. Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics 2023;44:532-49. https://doi.org/10.1111/jbl.12364.
18. Hu W-C, Wu H-T, Cho H-H, Tseng F-H. Optimal Route Planning System for Logistics Vehicles Based on Artificial Intelligence. Journal of Internet Technology 2020;21:757-64.
19. Wang S. Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology. Scientific Programming 2021;2021:e5166993. https://doi.org/10.1155/2021/5166993.
20. Yang B, Huang Z. The Application Research of Artificial Intelligence in Logistics Field. 2021 International Conference on Intelligent Computing, Automation and Applications (ICAA), 2021, p. 203-8. https://doi.org/10.1109/ICAA53760.2021.00043.
21. Foster MN, Rhoden SLNH. The integration of automation and artificial intelligence into the logistics sector: A Caribbean perspective. Worldwide Hospitality and Tourism Themes 2020;12:56-68. https://doi.org/10.1108/WHATT-10-2019-0070.
22. Soto IBR, Leon NSS. How artificial intelligence will shape the future of metaverse. A qualitative perspective. Metaverse Basic and Applied Research 2022;1:12-12. https://doi.org/10.56294/mr202212.
23. Chung S-H. Applications of smart technologies in logistics and transport: A review. Transportation Research Part E: Logistics and Transportation Review 2021;153:102455. https://doi.org/10.1016/j.tre.2021.102455.
24. Niranjan K, Narayana KS, Rao MVALN. Role of Artifical Intelligence in Logistics and Supply Chain. 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, p. 1-3. https://doi.org/10.1109/ICCCI50826.2021.9402625.
25. Espinosa RDC, Caicedo-Erazo JC, Londoño MA, Pitre IJ. Inclusive Innovation through Arduino Embedded Systems and ChatGPT. Metaverse Basic and Applied Research 2023;2:52-52. https://doi.org/10.56294/mr202352.
26. Zheng Z, He W, Chen J. Application of Artificial Intelligence Technology in Route Planning of Logistics Highway Transportation. En: Hu Z, Wang Y, He M, editores. Advances in Intelligent Systems, Computer Science and Digital Economics IV, Cham: Springer Nature Switzerland; 2023, p. 617-28. https://doi.org/10.1007/978-3-031-24475-9_50.
27. Pallathadka H, Jawarneh M, Sammy F, Garchar V, Sanchez DT, Naved M. A Review of Using Artificial Intelligence and Machine Learning in Food and Agriculture Industry. 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), 2022, p. 2215-8. https://doi.org/10.1109/ICACITE53722.2022.9823427.
28. Jagtap S, Bader F, Garcia-Garcia G, Trollman H, Fadiji T, Salonitis K. Food Logistics 4.0: Opportunities and Challenges. Logistics 2021;5:2. https://doi.org/10.3390/logistics5010002.
Published
Issue
Section
License
Copyright (c) 2023 Ricardo Javier Albarracín Vanoy (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
