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

Kai Hoberg () and Christina Imdahl ()
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Kai Hoberg: Kühne Logistics University

A chapter in Global Logistics and Supply Chain Strategies for the 2020s, 2023, pp 67-82 from Springer

Abstract: 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.

Keywords: Cross-functional expertise; Analytical skills; End-to-end thinking (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-95764-3_4

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DOI: 10.1007/978-3-030-95764-3_4

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