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 and Marek VOCHOZKA

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

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

Abstract

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.