Innovative digital algorithms in commercial networks

Optimization of cargo flows through the nodes of the digital transport corridor is an urgent task. Its emergence is due to the need to introduce innovative management principles in logistics. This article considers the problem of choosing the optimal technology for carrying out work at a distribution center. Such objects affect the functioning of a third-party logistics operator and are the basic nodes of the transport network. The task is to find a theoretical basis in the form of a set of mathematical formalisms built to model stochastic processes in commodity flows. The proposed mathematical model can be included in the core of the digital logistics platform as part of the expert software block «Warehouse Management System». The research results provide a basis for using the resource to reduce the cost of construction and maintenance of the distribution center. Quantitatively, the savings are determined both by the conditions for the delivery of goods and by the general market situation. The peculiarity of the research, carried out taking into account the stochastic nature of the market, makes it possible to apply the proposed methodology in the tasks of risk assessment.

Keywords: digitalization, logistics, supply chains, algorithm, control



  1. O. Kalinina, S. Firova, S. Barykin, I. Kapustina. Development of the Logistical Model for Energy Projects’ Investment Sources in the Transport Sector//Advances in Intelligent Systems and Computing, 2020. Vol. 982.
  2. O. Kalinina, I. Kapustina, S. Barykin et al. Development of a Combined Approach of Innovative and Traditional Scenarios of the Company’s Strategy//Proceedings of the 33rd International Business Information Management Association Conference, IBIMA 2019: Education Excellence and Innovation Management through Vision 2020.
  3. I. A. Krasyuk, V. V. Bakharev, N. A. Kozlova, D. D. Mirzoeva. Staffing in the Sphere of Trade: The Main Issues and Prospects of Solution//Proceedings of 2017 IEEE 6th Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations) (SPUE), St. Petersbutg, Russia, 2017. P. 48-50. doi: 10.1109/ IVForum.2017.8246047.
  4. L. N. Borisoglebskaya, E. N. Provotorova, S. M. Sergeev. Promotion based on Digital Interaction Algorithm//International Scientific Workshop «Advanced Technologies in Material Science, Mechanical and Automation Engineering», MIP: Engineering-2019. 2019 IOP Conf. Ser.: Mater. Sci. Eng. 537 042032. doi: 10.1088/1757-899X/537/4/042032.
  5. S. L. Podvalny, V. V. Provotorov, E. S. Podvalny. The Controllability of Parabolic Systems with Delay and Distributed Parameters on the Graph//Procedia Computer Science, 2017. Vol. 103. P. 324-330.
  6. V. V. Provotorov, E. N. Provotorova. Optimal Control of the Linearized Navier-Stokes System in a Netlike Domain//Vestnik of Saint Peterburg University. Applied Mathematics. Computer Science. Control Processes, 2017. Vol. 13. Issue 4. P. 431-443.
  7. M. A. Artemov, E. S. Baranovskii, A. P. Zhabko, V. V. Provotorov. On a 3D model of Non-Isothermal Flows in a Pipeline Network. Journal of Physics. Conference Series, 2019. Vol. 1203. Article ID 012094.
  8. L. N. Borisoglebskaya, I. А. Mironova, S. М. Sergeev. Modelling of Trade-Manufacturing Activity under Innovation Offer//Innovations. 2013. № 1 (171). P. 107-111.
  9. M. S. Rybyantseva, E. A. Ivanova, S. S. Demin et al. Financial Sustainability of the Enterprise and the Main Methods of its Assessment//International Journal of Applied Business and Economic Research. 2017. Vol. 15. № 23. P. 139-146.
  10. V. V. Provotorov. Eigenfunctions of Boundary Value Problems on Graphs and its Applications: monograph. Voronezh: Scientific book, 2008. 247 p.
  11. S. M. Sergeev. Expansion of DEA Methodology on the Multimodal Conception for the 3PL//Modern Informatization Problems in Simulation and Social Technologies Proceedings of the XXIII International Open Science Conference. 2018. P. 169-176.
  12. S. Zemlyak, O. Gusarova, G. Khromenkova. Tools for Correlation and Regression Analyses in Estimating a Functional Relationship of Digitalization Factors//Mathematics, 2022, 10 (3), 429.
  13. A. Bharadwaj, O. A. El, P. A. Pavlou, N. Venkatraman. Digital Business Strategy: Toward a Next Generation of Insights//MIS Quarterly, 2013, 37 (2). P. 471-482.
  14. J. L. Hartley, W. J. Sawaya. Tortoise, not the Hare: Digital Transformation of Supply Chain Business Processes//Business Horizons. 2019. Vol. 62. Issue 6. P. 707-715.
  15. N. Rožman, R. Vrabič, M. Corn et al. Distributed Logistics Platform Based on Blockchain and IoT//Procedia CIRP. 2019. Vol. 81. P. 826-831.
  16. V. Shankar, D. Grewal, S. Sunder et al. Digital Marketing Communication in Global Marketplaces: A Review of Extant Research, Future Directions, and Potential Approaches//International Journal of Research in Marketing, 2021. Vol. 39. Issue 2. P. 541-565.
  17. A. S. Krishen, Y. K. Dwivedi, N. Bindu, K. S. Kumar. A Broad Overview of Interactive Digital Marketing: A Bibliometric Network Analysis//Journal of Business Research. 2021. Vol. 131. P. 183-195.
  18. S. M. Sergeev. Cross-System Way of Looking to Business with Limited Resources//Selected Papers of the International Scientific School «Paradigma» Winter-2016 (Varna, Bulgaria). Yelm, WA, USA, 2016. P. 95-102.
  19. M. Ardolino, N. Saccani, F. Adrodegari, M. Perona. A business Model Framework to Characterize Digital Multisided Platforms//Journal of Open Innovation: Technology, Market, and Complexity. 2020. Vol. 6, Issue 1, 10.
  20. S. E. Barykin, E. R. Schislyaeva, M. M. Khaikin. International Transportation Logistics Development Challenges in Oil and Gas Sector: The Case of the North West of Russia//In Proceedings of the Innovation-Based Development of the Mineral Resources Sector: Challenges and Prospects – 11th conference of the Russian-German Raw Materials, Potsdam, Germany, 7-8 November 2018; CRC Press-Balkema: Potsdam, Germany, 2019. P. 491-497.
  21. S. E. Barykin, L. N. Borisoglebskaya, V. V. Provotorov et al. Sustainability of Management Decisions in a Digital Logistics Network//Sustainability, 2021, 13 (16), 9289.
  22. S. E. Barykin, E. A. Smirnova, D. Chzhao et al. Digital Echelons and Interfaces within Value Chains: End-to-end Marketing and Logistics Integration//Sustainability, 2021, 13 (24), 13929.
  23. S. M. Daniali, S. E. Barykin, I. V. Kapustina et al. Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm//Sustainability, 2021, 13 (24), 14011.