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

J 2021

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

WADE, Karen a Marek VOCHOZKA

Základní údaje

Originální název

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

Autoři

WADE, Karen (garant) a Marek VOCHOZKA (203 Česká republika, domácí)

Vydání

Journal of Self-Governance and Management Economics, New York, USA, Addleton Academic Publishers, 2021, 2329-4175

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10200 1.2 Computer and information sciences

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Kód RIV

RIV/75081431:_____/21:00002169

Organizační jednotka

Vysoká škola technická a ekonomická v Českých Budějovicích

Klíčová slova anglicky

cyber-physical; smart manufacturing; sustainability; Industry 4.0; big data

Štítky

BPL_FIP_2, RIV21, SCOPUS

Změněno: 21. 4. 2022 07:15, Mgr. Nikola Petříková

Anotace

V originále

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.

Citovat

WADE, Karen a 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, 2021, roč. 9, č. 3, s. 48-60. ISSN 2329-4175.

@article{60284,
   author = {Wade, Karen and Vochozka, Marek},
   article_location = {New York, USA},
   article_number = {3},
   keywords = {cyber-physical; smart manufacturing; sustainability; Industry 4.0; big data},
   language = {eng},
   issn = {2329-4175},
   journal = {Journal of Self-Governance and Management Economics},
   title = {Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing},
   url = {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},
   volume = {9},
   year = {2021}
}

TY  - JOUR
ID  - 60284
AU  - Wade, Karen - Vochozka, Marek
PY  - 2021
TI  - Artificial Intelligence Data-driven Internet of Things Systems, Sustainable Industry 4.0 Wireless Networks, and Digitized Mass Production in Cyber-Physical Smart Manufacturing
JF  - Journal of Self-Governance and Management Economics
VL  - 9
IS  - 3
SP  - 48-60
EP  - 48-60
PB  - Addleton Academic Publishers
SN  - 23294175
KW  - cyber-physical
KW  - smart manufacturing
KW  - sustainability
KW  - Industry 4.0
KW  - big data
UR  - 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
N2  - 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.
ER  -

WADE, Karen a 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. \textit{Journal of Self-Governance and Management Economics}. New York, USA: Addleton Academic Publishers, 2021, roč.~9, č.~3, s.~48-60. ISSN~2329-4175.

Podrobný výpis o publikaci