Automation, machine learning and predictive analytics all adhere to the same objective: improvement of operations, logistics, and supply chain processes by means of enhanced information technology applications and machines. This chapter outlines definitions and connections to operational and strategy questions in supply chain and logistics management for this new and evolving field of research as well as business application. Therefore, first basic developments and definitions of AI applications are described after which a case study is provided. Subsequently, applications of AI in intralogistics as well as core conceptual issues and problems are outlined (basic level). Applications in transportation and elaborate concepts and interactions with other management areas are discussed at a more advanced level. Finally, AI applications in supply chain design as well as an outlook for AI developments relating to logistics are described (state-of-the-art level), followed by suggestions for future topics and further reading material.
CITATION STYLE
Klumpp, M. (2019). Artificial Intelligence Applications. In Lecture Notes in Logistics (pp. 637–662). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-319-92447-2_28
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