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How to Design Human–Machine Interaction in Next-Generation Supply Chain Planning

In: Global Logistics and Supply Chain Strategies for the 2020s

Author

Listed:
  • Kai Hoberg

    (Kühne Logistics University)

  • Christina Imdahl

Abstract

Decision support systems for supply chain planning have been supporting planners over decades to improve their decision-making in many different ways. As next-generation planning systems are leveraging advanced artificial intelligence (AI) technologies, companies must not only determine what decision support to use, but effectively shape how the supply chain planner (“the human”) and the system (“the machine”) work together. At the same time, AI-supported planning systems will change the job profiles and required skill sets of supply chain planners. This chapter provides guidance on what to consider when designing such interactive systems and elaborates on the effect of digitization on supply chain job profiles.

Suggested Citation

  • Kai Hoberg & Christina Imdahl, 2023. "How to Design Human–Machine Interaction in Next-Generation Supply Chain Planning," Springer Books, in: Rico Merkert & Kai Hoberg (ed.), Global Logistics and Supply Chain Strategies for the 2020s, pages 67-82, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-95764-3_4
    DOI: 10.1007/978-3-030-95764-3_4
    as

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