WADE, Karen and Marek VOCHOZKA. Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing. Journal of Self-Governance and Management Economics. New York, USA: Addleton Academic Publishers, vol. 9, No 3, p. 48-60. ISSN 2329-4175. 2021.
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Basic information
Original name Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing
Authors WADE, Karen (guarantor) and Marek VOCHOZKA (203 Czech Republic, belonging to the institution).
Edition Journal of Self-Governance and Management Economics, New York, USA, Addleton Academic Publishers, 2021, 2329-4175.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10200 1.2 Computer and information sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/75081431:_____/21:00002169
Organization unit Institute of Technology and Business in České Budějovice
Keywords in English cyber-physical; smart manufacturing; sustainability; Industry 4.0; big data
Tags BPL_FIP_2, RIV21, SCOPUS
Changed by Changed by: Mgr. Nikola Petříková, učo 28324. Changed: 21/4/2022 07:15.
Abstract
Based on an in-depth survey of the literature, the purpose of the paper is to explore artificial intelligence data-driven Internet of Things systems, sustainable Industry 4.0 wireless networks, and digitized mass production in cyber physical smart manufacturing. Using and replicating data from BDO, Capgemini, the Economist Intelligence Unit, Forrester, Management Events, and McKinsey, we performed analyses and made estimates regarding autonomous networked manufacturing machines in industrial enterprises. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
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