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AI in Intralogistics

In: Work and AI 2030

Author

Listed:
  • Norbert Bach

    (Technische Universität Ilmenau)

  • Sven Lindig

    (Lindig Fördertechnik GmbH)

Abstract

Tasks of intralogistics are traditionally optimised with the help of algorithms. In contrast to methods of operations research, AI can overcome rigid objective functions and react flexibly to occurring events. The availability of real-time data and its evaluation also enables the prediction of events based on pattern recognition and thus a greater customer orientation. In addition, by 2030, real time simulations in the digital twin will become the norm and intralogistics will merge with overarching logistics chains. Furthermore, the use of drones will make the solution space for distances three-dimensional, which will lead to efficiency increases that were not possible before. Nevertheless, human beings remain the key factor in logistics. Wearables and exoskeletons enable the free collaboration with co-robots in a confined space, the human being becomes an integral part of a networked logistics system.

Suggested Citation

  • Norbert Bach & Sven Lindig, 2023. "AI in Intralogistics," Springer Books, in: Inka Knappertsbusch & Kai Gondlach (ed.), Work and AI 2030, pages 287-293, Springer.
    • Handle: RePEc:spr:sprchp:978-3-658-40232-7_32
    DOI: 10.1007/978-3-658-40232-7_32
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