Open Access

Overview of Current Research on Artificial Intelligence in Logistics

 and   
Jan 24, 2025

Cite
Download Cover

Kovshova, T., Trifonov, P. & Ramirez-Asis, E. (2023). Improving the efficiency of intellectualisation processes in enterprise management systems. Systems 11, 266. DOI: 10.3390/systems11060266. Search in Google Scholar

Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F. & Strandhagen, J.O. (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Ann. Oper. Res. 308, 125–143. DOI: 10.1007/s10479-020-03526-7. Search in Google Scholar

Trocin, C., Hovland, I.V., Mikalef, P. & Dremel, C. (2021). How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies. Technol. Forecast. Soc. Change 173, 121081. DOI: 10.1016/j.techfore.2021.121081. Search in Google Scholar

Ahmed, S. (2020). Environmental sustainability coding techniques for cloud computing. Int. J. Adv. Comput. Sci. Appl. 11, 231–237. Search in Google Scholar

Langer, M. & Landers, R.N. (2021). The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Comput. Hum. Behav. 123, 106878. DOI: 10.1016/j.chb.2021.106878. Search in Google Scholar

Zhao, G., Li, Y. & Xu, Q. (2022). From Emotion AI to Cognitive AI. Int. J. Netw. Dyn. Intell. 65–72. DOI: 10.53941/ijndi0101006. Search in Google Scholar

Sirojiddinova, I.M. (2023). Scientific and Technological Progress, Problems and Solutions In the Application of Artificial Intelligence. Am. J. Lang. Lit. Learn. STEM Educ. 2993-2769 1, 49–53. Search in Google Scholar

Cecchi, R., Haja, T.M., Calabrò, F., Fasterholdt, I. & Rasmussen, B.S.B. (2024). Artificial intelligence in healthcare: Why not apply the medico-legal method starting with the Collingridge dilemma? Int. J. Legal Med. 138, 1173–1178. DOI: 10.1007/s00414-023-03152-5. Search in Google Scholar

Goodell, J.W., Kumar, S., Lim, W.M. & Pattnaik, D. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. J. Behav. Exp. Finance 32, 100577. DOI: 10.1016/j.jbef.2021.100577. Search in Google Scholar

Holubčík, M., Vodak, J. & Soviar, J. (2018). How to manage business in a collaborative environment – a case study of multinational companies. Communications in Computer and Information Science 877, 299–311. Search in Google Scholar

Štaffenová, N. & Kucharčíková, A. (2023). Digitalization in the Human Capital Management. Systems 11, 337. DOI: 10.3390/systems11070337. Search in Google Scholar

Brown, M., Anderson, B. & Murray, F. (2007). E-learning policy issues: Global trends, themes and tensions. Search in Google Scholar

Khan, B. (2005). Managing e-learning strategies: Design, delivery, implementation and evaluation. Information Science Publishing. Search in Google Scholar

Boute, R.N. & Udenio, M. (2023). AI in logistics and supply chain management. In R. Merkert & K. Hoberg (Eds.), Global logistics and supply chain strategies for the 2020s: Vital skills for the next generation (pp. 49–65). Springer International Publishing. DOI: 10.1007/978-3-030-95764-3_3. Search in Google Scholar

Dhaliwal, A. (2020). The rise of automation and robotics in warehouse management. In Transforming management using artificial intelligence techniques. CRC Press. Search in Google Scholar

Tripathi, S., Shukla, S., Attrey, S., Agrawal, A. & Bhadoria, V.S. (2020). Smart Industrial Packaging and Sorting System, in: Kapur, P.K., Singh, O., Khatri, S.K., Verma, A.K. (Eds.), Strategic System Assurance and Business Analytics. Springer, Singapore, 245–254. DOI: 10.1007/978-981-15-3647-2_18. Search in Google Scholar

Zhang, Y. & Cheng, W. (2019). Vision-based robot sorting system. IOP Conf. Ser. Mater. Sci. Eng. 592, 012154. DOI: 10.1088/1757-899X/592/1/012154. Search in Google Scholar

Alomar, M.A. (2022). Performance optimization of industrial supply chain using artificial intelligence. Comput. Intell. Neurosci. 2022, 9306265. DOI: 10.1155/2022/9306265. Search in Google Scholar

Sohn, K. (2021). AI-Based Transportation Planning and Operation. MDPI. Search in Google Scholar

Willems, L. (2021). Understanding the Impacts of Autonomous Vehicles in Logistics, in: The Digital Transformation of Logistics. John Wiley & Sons, Ltd, 113–127. DOI: 10.1002/9781119646495.ch8. Search in Google Scholar

Lee, H.-W. (2022). Research on multi-functional logistics intelligent unmanned aerial vehicle. Eng. Appl. Artif. Intell. 116, 105341. DOI: 10.1016/j.engappai.2022.105341. Search in Google Scholar

López, G., Quesada, L. & Guerrero, L.A. (2018). Alexa vs. Siri vs. Cortana vs. Google Assistant: A Comparison of Speech-Based Natural User Interfaces, in: Nunes, I.L. (Ed.), Advances in Human Factors and Systems Interaction. Springer International Publishing, Cham, 241–250. DOI: 10.1007/978-3-319-60366-7_23. Search in Google Scholar

Tulshan, A.S. & Dhage, S.N. (2019). Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa, in: Thampi, S.M., Marques, O., Krishnan, S., Li, K.-C., Ciuonzo, D., Kolekar, M.H. (Eds.), Advances in Signal Processing and Intelligent Recognition Systems. Springer, Singapore, 190–201. DOI: 10.1007/978-981-13-5758-9_17. Search in Google Scholar

Chandrasekar, R. (2014). Elementary? Question answering, IBM’s Watson, and the Jeopardy! challenge. Resonance 19, 222–241. DOI: 10.1007/s12045-014-0029-7. Search in Google Scholar

Warwick, K. & Shah, H. (2016). Can machines think? A report on Turing test experiments at the Royal Society. J. Exp. Theor. Artif. Intell. 28, 989–1007. DOI: 10.1080/0952813X.2015.1055826. Search in Google Scholar

Alto, V. (2023). Modern generative AI with ChatGPT and OpenAI models: Leverage the capabilities of OpenAI’s LLM for productivity and innovation with GPT3 and GPT4. Packt Publishing Ltd. Search in Google Scholar

Samarinas, C., Hsu, W. & Lee, M.L. (2020). Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training, in: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). Presented at the 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 941–948). DOI: 10.1109/ICTAI50040.2020.00147. Search in Google Scholar

Paksoy, T., Kochan, C.G. & Ali, S.S. (2020). Logistics 4.0: Digital Transformation of Supply Chain Management. CRC Press. Search in Google Scholar

Kredina, A., Akhtanova, M., Bekturganova, M., Tsoy, A. & Spankulova, L. (2022). The relationship between logistics and information and communication technologies and their impact on the economy of Kazakhstan. Probl. Perspect. Manag. 20, 344–355. DOI: 10.21511/ppm.20(4).2022.26 Search in Google Scholar

Leonhard, G. (2017). Technology vs. Humanity: Unsere Zukunft zwischen Mensch und Maschine (1st ed.). Vahlen. Search in Google Scholar

Stacho, Z., Stachová, K., Lukáč, M., Kupec, V. & Petrů, N. (2023). Management Reflections on Innovations in Digitalization, with an Emphasis on Degree of Work Autonomy. E M Ekon. Manag. 26, 78–93. DOI: 10.15240/TUL/001/2023-1-005. Search in Google Scholar

Vodak, J., Soviar, J. & Lendel, V. (2014). Identification of the Main Aspects of Cooperation Management and the Problems Arising from their Misunderstanding. Commun. - Sci. Lett. Univ. Zilina 16, 93–101. DOI: 10.26552/com.C.2014.3.93-101. Search in Google Scholar

Kusnirova, D., Durisova, M. & Bubeliny, O. (2024). Enhancing stakeholder value: Managerial activities in the value creation process for suppliers and buyers – Evidence from Slovak enterprises. Adm. Sci. 14, 186. DOI: 10.3390/admsci14080186. Search in Google Scholar

Kušnírová, D., Bubelíny, O. & Ďurišová, M. (2024). Value management: Enterprises’ interest in stakeholders and its impact on creating sustainable relationships with suppliers and buyers. Sustain. 16. DOI: 10.3390/su16167148. Search in Google Scholar

Engesser, V., Rombaut, E., Vanhaverbeke, L. & Lebeau, P. (2023). Autonomous delivery solutions for last-mile logistics operations: A literature review and research agenda. Sustainability 15, 2774. DOI: 10.3390/su15032774. Search in Google Scholar

Juraeva, G., Mirzaev, N., Hamroev, R. & Rustamov, M. (2023). Transport features of logistics. E3S Web Conf. 402, 01016. DOI: 10.1051/e3sconf/202340201016. Search in Google Scholar

Sahoo, S. & Goswami, S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. J. Future Sustain. 4, 23–34. Search in Google Scholar

Šulyová, D., Vodák, J. & Kubina, M. (2021). Effective management of scarce water resources: From antiquity to today and into the future. Water Switz. 13. DOI: 10.3390/w13192734. Search in Google Scholar

Mahardhani, A.J. (2023). The Role of Public Policy in Fostering Technological Innovation and Sustainability. J. Contemp. Adm. Manag. ADMAN 1, 47–53. DOI: 10.61100/adman.v1i2.22. Search in Google Scholar

Vodák, J., Soviar, J. & Lendel, V. (2013). The evaluation system proposal of the businesses preparedness for cooperative management implementation. Bus. Theory Pract. 14, 315–322. DOI: 10.3846/btp.2013.33. Search in Google Scholar

Beresecká, J., Vicianová, J.H., Hronec, Š. & Lapuník, R. (2023). The issue of small municipalities - The possibility of applying the principles of socially responsible management. Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinforma., 13957, 516–540. DOI: 10.1007/978-3-031-36808-0_37. Search in Google Scholar

Malatinec, T. (2021). Local barriers in the efficient use of Green Public Procurement-case of Slovakia. Juridical Trib. 11, 524–534. DOI: 10.24818/TBJ/2021/11/3.07. Search in Google Scholar

Tittelbachová, Š., Čajková, A., Lukáč, M. & Lžičař, P. (2022). Impact of the COVID-19 pandemic on tourism in the Czech Republic. Terra Econ. 20, 133–145. DOI: 10.18522/2073-6606-2022-20-3-133-145. Search in Google Scholar

Language:
English