Industrial artificial intelligence, smart connected sensors,
and big data-driven decision-making processes in internet of
things-based real-time production logistics

J 2020

Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics

DAVIS, Ruth, Marek VOCHOZKA, Jaromír VRBKA and Octav NEGURIȚĂ

Basic information

Original name

Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics

Name in Czech

Průmyslová umělá inteligence, inteligentní připojené senzory a velké rozhodovací procesy založené na datech v internetu věcí založeném na reálném čase produkční logistiky

Authors

DAVIS, Ruth (840 United States of America, guarantor), Marek VOCHOZKA (203 Czech Republic, belonging to the institution), Jaromír VRBKA (203 Czech Republic, belonging to the institution) and Octav NEGURIȚĂ (642 Romania)

Edition

Economics, Management, and Financial Markets, New York, USA, Addleton Academic Publishers, 2020, 1842-3191

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

50200 5.2 Economics and Business

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/20:00001824

Organization unit

Institute of Technology and Business in České Budějovice

DOI

http://dx.doi.org/10.22381/EMFM15320201

Keywords (in Czech)

umělá inteligence; velká data; Průmysl 4.0; logistika; výroba

Keywords in English

artificial intelligence; big data; Industry 4.0; logistics; production

Abstract

ORIG CZ

V originále

Employing recent research results covering Internet of Things-based real-time production logistics, and building our argument by drawing on data collected from Catapult, Deloitte, MHI, PwC, SME, Software AG, and ZDNet, the authors performed analyses and made estimates regarding the relationship between industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes. Structural equation modeling was used to analyze the collected data.

In Czech

S využitím nedávných výsledků výzkumu pokrývajících logistiku výroby v reálném čase založeném na Internetu věcí a budování našeho argumentu čerpáním z údajů shromážděných od společností Catapult, Deloitte, MHI, PwC, SME, Software AG a ZDNet provedli autoři analýzy a odhady týkající se vztahu mezi průmyslovou umělou inteligencí, inteligentními připojenými senzory a rozhodovacími procesy založenými na velkých datech. K analýze shromážděných dat bylo použito modelování strukturálních rovnic.

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Citovat

DAVIS, Ruth, Marek VOCHOZKA, Jaromír VRBKA and Octav NEGURIȚĂ. Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics. Economics, Management, and Financial Markets. New York, USA: Addleton Academic Publishers, 2020, vol. 15, No 3, p. 9-15. ISSN 1842-3191. Available from: https://dx.doi.org/10.22381/EMFM15320201.

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   keywords = {artificial intelligence; big data; Industry 4.0; logistics; production},
   language = {eng},
   issn = {1842-3191},
   journal = {Economics, Management, and Financial Markets},
   title = {Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics},
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   volume = {15},
   year = {2020}
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PB  - Addleton Academic Publishers
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KW  - artificial intelligence
KW  - big data
KW  - Industry 4.0
KW  - logistics
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N2  - Employing recent research results covering Internet of Things-based real-time production logistics, and building our argument by drawing on data collected from Catapult, Deloitte, MHI, PwC, SME, Software AG, and ZDNet, the authors performed analyses and made estimates regarding the relationship between industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes. Structural equation modeling was used to analyze the collected data.
ER  -

DAVIS, Ruth, Marek VOCHOZKA, Jaromír VRBKA and Octav NEGURIȚ$\backslash$U A. Industrial artificial intelligence, smart connected sensors, and big data-driven decision-making processes in internet of things-based real-time production logistics. \textit{Economics, Management, and Financial Markets}. New York, USA: Addleton Academic Publishers, 2020, vol.~15, No~3, p.~9-15. ISSN~1842-3191. Available from: https://dx.doi.org/10.22381/EMFM15320201.

Detailed Information on Publication Record