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

Hoberg, K., Merkert, R. (Eds.). (2021). Global Logistics and Supply Chain Strategies in the 2020s - Vital skills for the Next Generation.

15 Pages Posted: 22 Sep 2021

See all articles by Kai Hoberg

Kai Hoberg

Kuehne Logistics University

Christina Imdahl

Eindhoven University of Technology

Date Written: August 20, 2021

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: Human-decision making, human-machine interaction, digitization

Suggested Citation

Hoberg, Kai and Imdahl, Christina, How to Design Human-Machine Interaction in Next-Generation Supply Chain Planning (August 20, 2021). Hoberg, K., Merkert, R. (Eds.). (2021). Global Logistics and Supply Chain Strategies in the 2020s - Vital skills for the Next Generation., Available at SSRN: https://ssrn.com/abstract=3908720 or http://dx.doi.org/10.2139/ssrn.3908720

Kai Hoberg

Kuehne Logistics University ( email )

Grosser Grasbrook 17
Hamburg, 20457
Germany

Christina Imdahl (Contact Author)

Eindhoven University of Technology ( email )

PO Box 513
Eindhoven, 5600 MB
Netherlands

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