Abstract
Digital transformation has a significant impact on the development of such an important sector of the economy as logistics. All major economic trends are traced in logistics, and basic digital technologies are already being used. At the same time, there are certain obstacles to the effective development of digital logistics. For example, there is a lack of informational integration of supply chains. This article systematizes information about the state of digital transformation in logistics, about the main trends, applied technologies, analyzes it, simulates the digital logistics ecosystem, identifies stakeholders, drivers of digital logistics transformation, requirements for the development of the industry. Based on this, the main lines of action to improve the efficiency of logistics activities in the context of digital transformation are formulated. The implementation of the proposed actions requires the integrated use of technology and a specialized mathematical apparatus. The integrated actions of participants in the digital logistics ecosystem will ensure the required role of logistics in integrated economic development.
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References
Vilken, V., Kalinina, O., Barykin, S., Zotova, E.: Logistic methodology of development of the regional digital economy. In: IOP Conference Series: Materials Science and Engineering, vol. 497, no. 1, p. 012037 (2019)
Wei, F., Alias, C., Noche, B.: Applications of digital technologies in sustainable logistics and supply chain management. In: Melkonyan, A., Krumme, K. (eds.) Innovative Logistics Services and Sustainable Lifestyles, pp. 235–263. Springer, Cham (2019)
DHL: ‘Batch Size One’. https://www.dhl.com/cn-en/home/insights-and-innovation/thought-leadership/trend-reports/batch-size-one.html
Goldratt, E.M.: The Choice. North River, Great Barrington (2008)
Laaper, S., Yauch, G. Wellener, P. Robinson, R.: Embracing a digital future. Deloitte Insights (2018)
Li, W., Zhong, Y., Wang, X., Cao, Y.: Resource virtualization and service selection in cloud logistics. J. Netw. Comput. Appl. 36(6), 1696–1704 (2013)
Zhang, Y., Liu, S., Liu, Y., Li, R.: Smart box-enabled product–service system for cloud logistics. Int. J. Prod. Res. 54(22), 6693–6706 (2016). https://doi.org/10.1080/00207543.2015.1134840
DHL, IBM: Artificial intelligence in logistics. https://www.dhl.com/content/dam/dhl/global/core/documents/pdf/glo-core-trend-report-artificial-intelligence.pdf
Xu, R., Yang, L., Yang, S.-H. Architecture design of internet of things in logistics management for emergency response. In: 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, pp. 395–402 (2013)
Tadejko, P.: Application of internet of things in logistics – current challenges. Ekon. Zarządzanie Econ. Manag. 7(4), 54–64 (2015). https://doi.org/10.12846/j.em.2015.04.07
Naumova, E., Buniak, V., Golubnichaya, G., Volkova, L., Vilken, V.: Digital transformation in regional transportation and social infrastructure. In: E3S Web of Conferences, vol. 157, p. 05002 (2020)
Jara, A.J., Ladid, L., Gómez-Skarmeta, A.F.: The internet of everything through IPv6: an analysis of challenges, solutions and opportunities. JoWua 4(3), 97–118 (2013)
Ghosh, D.: Big data in logistics and supply chain management-a rethinking step. In: 2015 International Symposium on Advanced Computing and Communication (ISACC), pp. 168–173 (2015)
Zhong, R.Y., Huang, G.Q., Lan, S., Dai, Q., Chen, X., Zhang, T.: A big data approach for logistics trajectory discovery from RFID-enabled production data. Int. J. Prod. Econ. 165, 260–272 (2015)
Shang, Y., Dunson, D., Song, J.-S.: Exploiting big data in logistics risk assessment via bayesian nonparametrics. Oper. Res. 65(6), 1574–1588 (2017). https://doi.org/10.1287/opre.2017.1612
Wang, G., Gunasekaran, A., Ngai, E.W., Papadopoulos, T.: Big data analytics in logistics and supply chain management: certain investigations for research and applications. Int. J. Prod. Econ. 176, 98–110 (2016)
Mikušová, N., Čujan, Z., Tomková, E.: Robotization of logistics processes. In: MATEC Web Conferences, vol. 134, p. 00038 (2017). https://doi.org/10.1051/matecconf/201713400038
Manyika, J., et al.: Manufacturing the future: the next era of global growth and innovation. McKinsey Global Institute, London (2012)
Silva, J.V., Rezende, R.A.: Additive manufacturing and its future impact in logistics. In: IFAC Proceedings Volumes, vol. 46, no. 24, pp. 277–282 (2013)
Manners-Bell, J., Lyon, K.: The implications of 3D printing for the global logistics industry. Transp. Intell. 1–5 (2012)
Maydanova, S., Ilin, I., Lepekhin, A.: Capabilities evaluation in an enterprise architecture context for digital transformation of seaports network. Presented at the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020, pp. 5103–5111 (2019)
Maydanova, S., Ilin, I., Strategic approach to global company digital transformation. Presented at the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020, pp. 8818–8833 (2019)
Ministry of Transport of the Russian Federation. https://mintrans.ru/
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The reported study was funded by RSCF according to the research project â„– 19-18-00452.
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Egorov, D., Levina, A., Kalyazina, S., Schuur, P., Gerrits, B. (2021). The Challenges of the Logistics Industry in the Era of Digital Transformation. In: Schaumburg, H., Korablev, V., Ungvari, L. (eds) Technological Transformation: A New Role For Human, Machines And Management. TT 2020. Lecture Notes in Networks and Systems, vol 157. Springer, Cham. https://doi.org/10.1007/978-3-030-64430-7_17
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