Year: 2025
Type: article
Abstract: The modern pace of industrial development requires new approaches to solving logistics problems. To achieve the necessary effect of automation, rationally use artificial iteleect. IoT technologies and warehouse management systems (WMS). As well as just-in-time inventory management methods and VMI (Vendor-Managed Inventory), or “supplier-managed inven-tory”, allow to partially solve these issues. Each of the considered methods has its own advan-tages and disadvantages. Therefore, the optimal choice depends on the specific task. For the successful implementation of artificial intelligence in logistics, a comprehensive approach is required, which includes the development of a clear strategy for the implementation of artifi-cial intelligence, taking into account the goal, resources and potential risks. Continuous train-ing and improvement of artificial intelligence algorithms, in accordance with specific logistics tasks, data security and protection of confidential information, as well as the development of ethical principles of artificial intelligence that guarantee fairness, transparency and control. In this regard, further research, improvement and updating of strategies for the implementation of automated technologies for the effective development of artificial intelligence integration logistics processes and achievement of the set goal are relevant.
Source: System technologies
Authors: A. Zhurba, Y. Modzalevskyi
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4409698972