Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00002169" target="_blank" >RIV/75081431:_____/21:00002169 - isvavai.cz</a>

Výsledek na webu

<a href="https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4064-artificial-intelligence-data-driven-internet-of-things-systems-sustainable-industry-4-0-wireless-networks-and-digitized-mass-production-in-cyber-physical-smart-manufacturing" target="_blank" >https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4064-artificial-intelligence-data-driven-internet-of-things-systems-sustainable-industry-4-0-wireless-networks-and-digitized-mass-production-in-cyber-physical-smart-manufacturing</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Self-Governance and Management Economics

ISSN

2329-4175

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

48-60

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85115861418