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Innovation Potentials and Pathways Merging AI, CPS, and IoT

University of Twente, Department of Industrial Engineering and Business Information Systems (IEBIS), Drienerlolaan 5, 7522 NB Enschede, The Netherlands
FOM University of Applied Sciences, Institute for Logistics and Service Management, Leimkugelstr. 6, 45141 Essen, Germany
Appl. Syst. Innov. 2018, 1(1), 5;
Received: 11 December 2017 / Revised: 19 January 2018 / Accepted: 22 January 2018 / Published: 24 January 2018
PDF [1536 KB, uploaded 24 January 2018]


Recent advances in the areas of Artificial Intelligence (AI) in the informatics field, Cyber-Physical Systems (CPS) in the production field, and Internet of Things (IoT) in the logistics and transportation field have induced a tremendous growth and innovation potential for global value chain setups. The question is not if further innovation and automation will happen but when—sooner than later—and how. Independent of physical production innovations (additive manufacturing) the information integration and decision autonomy tendencies themselves will drive new supply chain and customer interaction designs and business models. This article presents a technology forecast model based on extensive descriptions of developments by field as well as interaction traits. Results suggest that the crucial element in AI and technology application in logistics will be the human factor and human-artificial cooperation capacities and attitudes. View Full-Text
Keywords: artificial intelligence; cyber-physical systems; Industry 4.0; Internet of Things; technology forecasting artificial intelligence; cyber-physical systems; Industry 4.0; Internet of Things; technology forecasting

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Klumpp, M. Innovation Potentials and Pathways Merging AI, CPS, and IoT. Appl. Syst. Innov. 2018, 1, 5.

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