Abstract
The functioning of existing logistics supply chains was disrupted by the COVID-19 pandemic, the consequences of which have not been overcome yet. The crisis was caused by the termination of logistics operations as a result of lack of resources, as well as long delays in the supply of products from suppliers and logistics partners. The cardinal transformations which are taking place in the supply chains are also associated with the transition of all logistics operations to the digital environment. The purpose of the study is to develop a strategy for the formation of a sustainable supply chain that more comprehensive responds and effectively overcomes external influences. Redesigning of the global network, setting of the new parameters for supply chain buffers, and proactive supplier’s management are aimed to overcome external influences. Rapid response to emerging logistics chain failures is achieved through end-to-end supply management, the use of an artificial intelligence-based risk management system, and planning based on forecasting, modeling and scenario development. The application of the proposed strategy for the creating of a sustainable supply chain will improve the level and quality of customer service, increase the revenue and reduce risks through the cost savings. The developed strategy for the formation of a sustainable supply chain will allow not only to monitor ongoing processes at any time, but also to correct possible changes in order to maintain the sustainability of the supply chain.
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Acknowledgements
The research is partially funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program ‘Priority 2030’ (Agreement 075-15-2021-1333 dated 30.09.2021).
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Suvorova, S., Kulikova, O., Kirillova, T., Fedotova, G., Melikova, E. (2023). Formation a Sustainable Supply Chain Strategy. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_115
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