Centuries ago, removing the debris that cant be removed with human power in a natural disaster with an artificial intelligence tool, transporting the material to the wreckage place with autonomous vehicles and delivering the necessary aid to the region with drones was only a dream Artificial intelligence technology, which affects all sectors in the world today, is one of the most important innovations that will save the lives of living things in disasters. For this reason, together with the supply chain in disasters, the logistics industry should follow artificial intelligence innovations and be updated in accordance with the requirements of the age. Aids carried over smart roads save the lives of living things by saving time and energy with autonomous vehicles. With the help of artificial intelligence applications, the actions of logistics, whose value has increased gradually after the pandemic, are automated, communication, data collection, inventory processes, warehouse automation, planning, organization, communication cost analysis, and contactless delivery can be made with the interaction of digital networks. While planned disaster logistics reduces costs, it prevents time loss, and efficient and effective distribution of needs is realized with warehouse automation programs.. The aim of this research is to investigate the use of artificial intelligence in disaster logistics and the economic contributions of artificial intelligence technology in the logistics sector. The use of artificial intelligence technology in disaster logistics by smart vehicles on smart roads prevents unnecessary expenditures in the warehouse automation system, and by transmitting personal information of individuals, it causes a decrease in deaths due to chronic diseases such as heart, sugar and blood pressure. Updating the logistics support with artificial intelligence technology prevents the loss of property and life and prevents the economic losses of the countries.
Primary Language | Turkish |
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Journal Section | Research Articles |
Authors | |
Early Pub Date | March 30, 2022 |
Publication Date | March 31, 2022 |
Published in Issue | Year 2022 Volume: 7 Issue: 1 |
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