Subject. Optimization of warehouse logistics as a key factor in increasing the competitiveness of transport and logistics systems, taking into account the interconnection of technological, organizational and managerial decisions. Objectives. Identification of directions for optimizing warehouse logistics and substantiation of their impact on the competitiveness of transport and logistics systems. Methods. The research is based on the methods of systematic and comparative analysis, the method of evaluating the effectiveness of warehouse operations, as well as on the generalization of the results of scientific research by Russian and foreign authors. Results. The directions of warehouse logistics optimization are systematized in five groups (technological, organizational, managerial, personnel, digital). A quantitative assessment of the impact of the introduction of warehouse management and robotics systems on warehouse efficiency is given. A model of the relationship between the optimization of warehouse processes and key factors of competitiveness of transport and logistics systems has been developed. Conclusions. Optimization of warehouse logistics provides a multiplicative effect, manifested in reducing costs, improving the quality of service, reducing order processing time and creating the basis for the introduction of advanced technologies. The developed recommendations can be used in forming strategies for the development of warehouse complexes and evaluating the effectiveness of investments in the warehouse infrastructure of transport and logistics systems.
Abramova M.A., Syngaevskaya N.V. [Warehouse automation: the importance of the process, approaches to implementation, assessment of the effectiveness of digital transformation]. Vestnik Evraziiskoi nauki, 2025, vol. 17, no. s1. (In Russ.) EDN: EXIZUV
Arkabaev N.K., Doolotbek kyzy G., Amanbaev S.M. [Optimizing logistic processes and transport challenges in the dynamic landscape of online commerce]. Byulleten' nauki i praktiki, 2024, T. 10, no. 1, pp. 292–298. (In Russ.) DOI: 10.33619/2414-2948/98/35 EDN: XJGDCA
Bondareva M.V., Pervak D.A. [Current trends in warehouse real estate market development]. Vestnik Evraziiskoi nauki, 2025, vol. 17, no. 1. (In Russ.) EDN: UNIFPG
Ganiev A.O.U., Polevshchikov I.S. [Robotic technologies in warehouse logistics: analysis of architecture and determination of ways of its optimization]. Inzhenernyi vestnik Dona, 2024, no. 12, pp. 214–229. (In Russ.) EDN: MEPZIM
Korenyakina N.N., Goryanin N.V. [Optimization of transport and warehouse processes in logistics through the use of innovative technologies]. Intellektual'nye resursy – regional'nomu razvitiyu, 2024, no. 3, pp. 36–42. (In Russ.) EDN: BIXEWA
Yi Li, Zhang Ruining, Jiang Dandan. Order-Picking Efficiency in E-Commerce Warehouses: A Literature Review. Journal of Theoretical and Applied Electronic Commerce Research, 2022, vol. 17, no. 4, pp. 1812–1830. DOI: 10.3390/jtaer17040091 EDN: MQCUBR
Edronova V.N., Ovcharov A.O. [Methods, methodology and logic of scientific research]. Finansy i kredit, 2013, no. 9, pp. 6–12. (In Russ.) EDN: PVRUTH
Tikhonova E.V. [Methodological article: characteristics, structural components, and content requirements]. Khranenie i pererabotka sel'khozsyr'ya, 2024, vol. 32, no. 3, pp. 8–29. (In Russ.) DOI: 10.36107/spfp.2024.3.608 EDN: KVXXEC
Voronova D.Yu. [Formation of logistic decisions in management of transport and warehousing]. Innovatsii. Investitsii, 2016, no. 5, pp. 18–24. (In Russ.) EDN: XEDLSP
Bernardo R., Sousa J.P., Gonçalves P.J.S. Survey on robotic systems for internal logistics. Journal of Manufacturing Systems, 2022, vol. 65, pp. 339–350. DOI: 10.1016/j.jmsy.2022.09.012 EDN: HWFLGU
Drissi Elbouzidi A., Frédéric R., Pellerin R., Lamouri S., Ait El Cadi A. Leveraging digital twins for enhanced sustainable warehouse management. Cleaner Logistics and Supply Chain, 2025, vol. 17, no. 100287. DOI: 10.1016/j.clscn.2025.100287 EDN: YGQRWA
Ashrabi Ananno A., Jonsson M. Digital Model-Driven Optimization for Robot-Assisted Palletization: Addressing Real-World Constraints in Autonomous Warehousing. IFAC-PapersOnLine, 2025, vol. 59, no. 10, pp. 2010–2015. DOI: 10.1016/j.ifacol.2025.09.338 EDN: GZNZAO
Kumar D., Kr Singh R., Mishra R., Fosso Wamba S. Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Computers & Industrial Engineering, 2022, vol. 171, no. 108455. DOI: 10.1016/j.cie.2022.108455 EDN: IEXSOT
Wang Xianwei, Lu Jiajia, Ke Fuyang et al. Research on AGV task path planning based on improved A* algorithm. Virtual Reality & Intelligent Hardware, 2023, vol. 5, no. 3, pp. 249–265. DOI: 10.1016/j.vrih.2022.11.002 EDN: HYKIRW
Yu Shitao, Srinivas Sh. Collaborative Human-Robot Teaming for Dynamic Order Picking: Interventionist strategies for improving warehouse intralogistics operations. Transportation Research Part E: Logistics and Transportation Review, 2025, vol. 197, no. 104082. DOI: 10.1016/j.tre.2025.104082
Zhang Fei, Yang Xiaoyu, Dang Yunfei et al. Construction and Practice of Intelligent Warehouse Management Decision Support System Based on Artificial Intelligence. Procedia Computer Science, 2025, vol. 259, pp. 711–720. DOI: 10.1016/j.procs.2025.04.022 EDN: HTXUDE
Klepets A.M., Ignatov V.A., Gatapova V.B. et al. [Digital transformation of logistics processes: economic assessment of the effects of implementing WMS and TMS systems]. Finansovaya ekonomika, 2025, no. 5, pp. 211–214. (In Russ.) EDN: ZEAWSU
Tarudin N.F., Abdul Latif A., Adlan M.A.A. Leveraging WMS Barcode Technology for Enhanced Inventory Performance and Cost Efficiency. International Journal of Research and Innovation in Social Science, 2025, vol. 9, no. 14, pp. 2155–2165. DOI: 10.47772/ijriss.2025.914mg00164 EDN: VILZUN
Mahinur Alam Md., Azizbek Nurkat Ugli R., Jerin Tanha K., Jun T. AI-enhanced Digital Twin systems for warehouse logistics optimization: A review of challenges with solutions and future directions. ICT Express, 2026, vol. 12, no. 2, pp. 459–479. DOI: 10.1016/j.icte.2026.01.009
Kuznetsova A.D., Nemchinov O.A. [Effective management of warehouse infrastructure as a way to reduce enterprise costs]. Problemy sotsial'no-ekonomicheskogo razvitiya Sibiri, 2024, no. 4, pp. 53–60. (In Russ.) DOI: 10.18324/2224-1833-2024-3-53-60 EDN: VBXLXX
