Innovation potentials and pathways merging Ai, CPS, and IoT

Matthias Klumpp

doi:10.3390/asi1010005

Innovation potentials and pathways merging Ai, CPS, and IoT

Matthias Klumpp^*

^*Corresponding author for this work

Industrial Engineering & Business Information Systems

Research output: Contribution to journal › Article › Academic › peer-review

8 Citations (Scopus)

27 Downloads (Pure)

Abstract

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.

Original language	English
Article number	5
Pages (from-to)	1-18
Number of pages	18
Journal	Applied System Innovation
Volume	1
Issue number	1
DOIs	https://doi.org/10.3390/asi1010005
Publication status	Published - Mar 2018

Keywords

Artificial intelligence
Cyber-physical systems
Industry 4.0
Internet of Things
Technology forecasting
UT-Gold-D

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Cite this

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abstract = "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.",

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Innovation potentials and pathways merging Ai, CPS, and IoT

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