Optimization models in the SCM-system: progressive supply chain management
https://doi.org/10.26425/1816-4277-2023-8-116-127
Abstract
Transformations in socio-economic space affect functioning of entrepreneurial activity, leading to a change in the configuration of business processes. In the context of increasing complexity of external environment and digitalization, subjects must ensure the activities effectiveness based on supply chains optimization. Entities are required to use progressive methods of supply chain management. The purpose of the study is to analyze main optimization models in supply chain management (SCM) to determine progressive ways to improve them. The issues of SCM have been worked out, models of their optimization considered and suggestions for their improvement made. Theoretical analysis and generalization of information that allow to substantiate the SCM optimization models’ apparatus (SCOR, DCOR, CCOR) act as a methodological basis. As a result, it is proposed to focus on possibilities of progressive supply chain management, which make it possible to use information technologies to work through a large array of data and continuously obtain values for indicators, contributing to the development of models for optimizing logistics operations and processes in the SCM. The developments obtained are planned to be used for the development of practical models for optimizing enterprises’ supply chains.
About the Authors
S. G. LukinaRussian Federation
Svetlana G. Lukina, Cand. Sci. (Hist.) Sciences, Assoc. Prof. at History of Udmurtia, Archaeology and Ethnology Department
Izhevsk
A. A. Sadykov
Russian Federation
Alexey A. Sadykov, Postgraduate Student
Moscow
R. V. Fayzullin
Russian Federation
Rinat V. Fayzullin, Cand. Sci. (Econ.), Assoc. Prof. at the Information Technologies in Public Administration Department
Moscow
References
1. Kitrish E.Y. Supply chain management: theoretical aspects. East European Scientific Journal. 2021;65(1-4):8–15. (In Russian).
2. Antyushin S.M., Naidis O.A. Research of supply chain management strategies. Production organizer. 2020;3(28):97–107. DOI https://doi.org/10.25987/VSTU.2020.60.21.010 (In Russian).
3. Zhiltsov S.A., Provorova I.P., Gumerova L.D. Improving production processes efficiency in project management. Management accounting. 2022;(6-3):667–676. DOI https://doi.org/10.25806/uu6-32022667-676 (In Russian).
4. Ilchenko S.V., Kubersky A.V., Khramtsova Yu.A. Innovative methods of managerial decision-making in production. E-Scio. 2022;68(5):490–501. (In Russian).
5. Tyapukhin A.P. Variants, structure and algorithm of value chain management. Vestnik universiteta. 2022;(2):49–57. DOI https://doi.org/10.26425/1816-4277-2022-2-49-57 (In Russian).
6. Dmitriev N.D., Zaitsev A.A. Mathematical methods in industrial production management. In: Fundamental and applied research in the field of management, economics and trade: proceedings of the conference, St. Petersburg, June 4–6, 2019. St. Petersburg: Peter the Great St. Petersburg Polytechnic University Publ. House; 2019. Pp. 208–212. (In Russian).
7. Dmitriev N.D. Application of vector algebra for solving industrial problems. In: LinguaNet: proceedings of the conference, Sevas topol, May 17, 2019. Sevastopol: Sevastopol State University Publ. House; 2019. Pp. 209–211. (In Russian).
8. Litvin I.Y. Supply chain management as a tool to improve companies’ efficiency. Business strategies. 2020;8(10):261–264. DOI https://doi.org/10.17747/2311-7184-2020-10-261-264 (In Russian).
9. Malyshev E.A., Malysheva T.E. The use of digital technologies in supply chain management. Vestnik ZabGU. 2021;27(3):113–118. DOI https://doi.org/10.21209/2227-9245-2021-27-3-113-118 (In Russian).
10. Astafyeva O.E. Formation of a model for using the resources of industrial enterprises as part of the production and lo gistics chain. Vestnik universiteta. 2021;(12):55–59. DOI https://doi.org/10.26425/1816-4277-2021-12-55-59 (In Russian).
11. Ibragimova N.K. Investment risks of the enterprise and their management systems. International Journal of Applied Sciences and Technologies Integral. 2022;(4):24. DOI https://doi.org/10.55186/02357801_2022_7_4_8 (In Russian).
12. Dmitriev N.D., Dubanevich L.E., Tyutyunnikova I.E. Rationalization of investment activity of an industrial enterprise using a systematic approach. Modern Economy Success. 2020;(4):61–66. (In Russian).
13. Vorobyeva M.A. Analysis and prospects for the development of import substitution policy in the Russian Federation. In: Key positions and points of development of economy and industry: Science and Practice: proceedings of the conference, Lipetsk, March 31, 2022. Lipetsk: Lipetsk State Technical University Publ. House; 2022. Pp. 108–111. (In Russian).
14. Faizullin R., Pavlov I., Konstantinov P. Methodology for optimizing supply chains. In: Proceedings of SPIE – The International Society for Optical Engineering: Computer Applications for Management and Sustainable Development of Production and Industry, Dushanbe, 21–23 December 2021, SPIE; 2022. Pp. 122510U. DOI https://doi.org/10.1117/12.2630920
15. Zolkin A.L., Faizullin R.V., Dragulenko V.V. Application of the modern information technologies for design and monitoring of business processes of transport and logistics system. In: Journal of Physics: Conference Series, Krasnoyarsk, 25 September – 4 October 2020. Institute of Physics and IOP Publishing Limited; 2020. Pp. 32083. DOI https://doi.org/10.1088/1742-6596/1679/3/032083
Review
For citations:
Lukina S.G., Sadykov A.A., Fayzullin R.V. Optimization models in the SCM-system: progressive supply chain management. Vestnik Universiteta. 2023;(8):116-127. (In Russ.) https://doi.org/10.26425/1816-4277-2023-8-116-127