Prospects of Using Blockchain Technology in the Organization of the Transportation Process and Supply Chain

Authors

  • Ziyoda Mukhamedova Professor of Department “Transport and cargo systems”, Faculty Management of transport systems Tashkent State Transport University, 100167, Tashkent, Uzbekistan
  • Dilbar Mukhamedova Head of psyhology department , professor, Faculty of social science, National University of Uzbekistan

Keywords:

blockchain, logistics, smart contracts, decentralized environment, supply chains, Ethereum blockchain

Abstract

The spread and formation of information technologies is a fact in the modern world. Over the past decades, this direction has determined the main trajectories of the development of the economy, industry and society as a whole, which in turn leads to enormous changes in the aspect of technological progress. The formation and development of the digital environment is one of the top priorities of most developed countries, including the Russian Federation, the USA, Germany and others. Modern technological progress is characterized by the development and formation of various information technologies that contribute to improving the rational resources’ use and enhancing the competence of modern enterprises. To date, there are a huge number of applied and professional tasks, the most effective solution of which involves the use of various kinds of information technologies. This article raises the question of the relevance of using Blockchain technology, possible problems of its implementation, as well as what blockchain can give to different economy  and logistics sectors. To understand how the "blockchain" works, we take as a basis the second-generation blockchain "Ethereum", which includes an updated system of smart contracts and much more. Topical issues that blockchain can solve in logistics, such as inventory and cargo tracking, authentication, transparency in supply chains, increasing the speed of cargo delivery, and the creation of a freight market, are considered. The possibility is also considered and a description of the application of this technology on the railway network of Uzbekistan is given. This technology is applicable in many sectors of the modern rapidly developing world and is able to speed up the growth of the digital economy.

Downloads

Download data is not yet available.

References

The role of blockchain in logistics and implementation problems. Retrieved from 3commas.io: https://3commas.io/ru/blog/rol-blokchejna-v-logistike-i-problemy-vnedreniya (Accessed: 04/15/2022)

Baruffaldi, G., Accorsi, R., Manzini, R., 2019. “Warehouse management system customization and information availability in 3pl companies: A decision-support tool”. Industrial Management & Data Systems, 119 (2), 2019. – pp. 251-273

Brenner, B., Hummel, V., 2017. “Digital Twin as Enabler for an Innovative Digital Shopfloor Management System in the ESB Logistics Learning Factory at Reutlingen – University”. Procedia Manufacturing, 9, 2017. – pp. 198-205.

Bučková, M., Skokan, R., Fusko, M., Hodoň, R., 2019. “Designing of logistics systems with using of computer simulation and emulation”. 13th International Scientific Conference on Sustainable, Modern and Safe Transport, TRANSCOM, 2019. – pp. 978-985.

Defraeye, T., Tagliavini, G., Wu, W., Prawiranto, K., Schudel, S., Assefa Kerisima, M., Verboven, P., Bühlmann, A., 2019. “Digital twins probe into food cooling and biochemical quality changes for reducing losses in refrigerated supply chains”. Resources, Conservation and Recycling, 2019. – pp. 778-794.

Mukhamedova Z.G. Analysis and assessment of power efficiency of special self – propelled railway rolling stock. Journal of Advanced Research in Dynamical and Control Systems, 2020, 12(2), pp. 2808–2814

Shukhrat Saidivaliev, Samandar Sattorov and Diyora Juraeva. Assessment of the movement of the car along the sorting slide with a tailwind in the context of environmental health. E3S Web Conf., 371 (2023) 04033. DOI: https://doi.org/10.1051/e3sconf/202337104033.

Grau, M., Gresens, C., Vettermann, S., Wagner, L., 2019. “Enabling the digital thread for shipbuilding and shipping”. Royal Institution of Naval Architects - 19th International Conference on Computer Applications in Shipbuilding, 1, 2019. – pp. 72-78.

Harrison, R., 2019. “Dynamically Integrating Manufacturing Automation with Logistics”. 24th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2019. – pp. 21-22

Hostmann, B., Rayner, N. Gartner RAS Core Research Note. Gartner’s Business Intelligence: Analytics and Performance Framework [Теxt] // Gareth Herschel, 19 October, 2019 – Р. 71.

Kaewunruen, S., Lian, Q., 2019. “Digital twin aided sustainability-based lifecycle management for railway turnout systems”. Journal of Cleaner Production, 2019. – pp. 1537-1551

Kavka, L., Kodym, O., Cempírek, V., 2018. “Smart units in control of logistics processes”. 18th International Multidisciplinary Scientific Geoconference, SGEM, 2018. – pp. 701-708

Mukhamedova Z.G., Ergasheva Z.V. Economic and mathematical model of a container block train// Technical sciences No. 3, 2021, pp. 30-36.

Mukhamedova Ziyoda Gafurjanovna, Yakubov Mirjalil Sagatovich. Analysis of optimal periodicity of preventive maintenance of rail service car taking into account operational technology.// European science review 2018. P. 167-171.

Z.G Mukhamedova. Modelling of fluctuations in the main bearing frame of railcar // International Journal of Modern Manufacturing Technologies, Vol. VIII, No. 2. 2016. pp. 48 – 53

Z.G. Mukhamedova, Z.V. Ergasheva, E.A. Asatov Technological scheme of block trains operation /Z.G. Mukhamedova, Z.V. Ergasheva, E.A. Asatov// Scientific and practical journal Public safety The university of public safety of the republic of Uzbekistan, No. 3. 2021. pp. 130 – 134

Sivakumar, D. S. (2021). Clustering and Optimization Based on Hybrid Artificial Bee Colony and Differential Evolution Algorithm in Big Data. Research Journal of Computer Systems and Engineering, 2(1), 23:27. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/15

Mohan, B. R. ., M, D. ., Bhuria, V. ., Gadde, S. S. ., M, K. ., & N, A. P. . (2023). Potable Water Identification with Machine Learning: An Exploration of Water Quality Parameters. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3), 178–185. https://doi.org/10.17762/ijritcc.v11i3.6333

Mehraj, H., Jayadevappa, D., Haleem, S.L.A., Parveen, R., Madduri, A., Ayyagari, M.R., Dhabliya, D. Protection motivation theory using multi-factor authentication for providing security over social networking sites (2021) Pattern Recognition Letters, 152, pp. 218-224.

Downloads

Published

27.10.2023

How to Cite

Mukhamedova, Z. ., & Mukhamedova, D. . (2023). Prospects of Using Blockchain Technology in the Organization of the Transportation Process and Supply Chain. International Journal of Intelligent Systems and Applications in Engineering, 12(2s), 379–387. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3637

Issue

Section

Research Article