AI Bibliography
AI Bibliography |
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Klumpp, M., & Ruiner, C. (2019). Human role in digital logistics: Relevance of intuition in interacting with ai. In Logistics Management (pp. 32–44). Springer. |
| Resource type: Book Article BibTeX citation key: Klumpp2019 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, Engineering, General Subcategories: Augmented cognition, Big data, Decision making, Human decisionmaking, Human factors engineering, Informatics, Machine intelligence, Machine learning, Neurosymbolic Creators: Klumpp, Ruiner Publisher: Springer Collection: Logistics Management |
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| Abstract |
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Digital developments for logistics include many general and specific concepts as for example automation and Industry 4.0, Internet of Things (IoT), Physical Internet (PI) or Cyber-physical Systems (CPS). Overall, the human role in such settings will see profound changes – and many fears from workers are arising especially as there is no positive definition of new human work roles and expectations yet. We analyze the role of human intuition within an IoT and artificial intelligence application environment in logistics and supply chain processes and how it can be developed. Such a positive concept of increased efficiency by human-AI teams is an important cornerstone for digitalization as otherwise obstruction and fear may prevail with logistics and production workers.
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