ECCOMAS 2024

Artificial Intelligence in Temperature-Controlled Transportation

  • Akimova, Veronika (University of Helsinki)
  • Neittaanmäki, Pekka (Lappeenranta University of Technology)
  • Akimov, Kirill (University of Helsinki)
  • Tuovinen, Ronja (Lappeenranta University of Technology)

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We identify potential areas where artificial intelligence (AI) may be applied to optimise the cold chain logistics. The advantages of AI over human beings in the operation of refrigerated trucks and management of supply chains are overviewed. In particular, the potential of machine learning for implementation of self-driving trucks is considered, while the potential of predictive artificial intelligence for optimal product distribution is noted. Moreover, we identify the risks arising from the implementation of artificial intelligence.