Sustainable manufacturing in Indrustry 4.0: Cross-sector
networks of multiple supply chains, cyber-physical production
systems, and al-driven decision-making

J 2019

Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making

HAYHOE, Terry; Ivana PODHORSKÁ; Anna SIEKELOVÁ and Vojtěch STEHEL

Basic information

Original name

Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making

Name in Czech

Udržitelná výroba v průmyslu 4.0: Mezisektorové sítě dodavatelských řetězců, kyberfyzické systémy výroby a rozhodování pomocí umělé inteligence

Authors

HAYHOE, Terry (840 United States of America, guarantor); Ivana PODHORSKÁ (703 Slovakia); Anna SIEKELOVÁ (703 Slovakia) and Vojtěch STEHEL (203 Czech Republic, belonging to the institution)

Edition

Journal of Self-Governance and Management Economics, New York, USA, Addleton Academic Publishers, 2019, 2329-4175

Other information

Language

English

Type of outcome

Article in a journal

Field of Study

50203 Industrial relations

Country of publisher

United States of America

Confidentiality degree

is not subject to a state or trade secret

References:

URL

RIV identification code

RIV/75081431:_____/19:00001588

Organization unit

Institute of Technology and Business in České Budějovice

DOI

http://dx.doi.org/10.22381/JSME7220195

EID Scopus

2-s2.0-85071002780

Keywords (in Czech)

udržitelná výroba; průmysl 4.0; kyberfyzické systémy výroby

Keywords in English

sustainable manufacturing; Industry 4.0; cyber-physical production system

Abstract

ORIG CZ

V originále

Authors submit an insight into relevant literature on sustainable manufacturing in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. They perform analyses and make estimates regarding awareness and usage of smartphone applications featuring machine learning (%), elements that are expected to be highly relevant along the automotive value chain in 2030 (%), and share of companies investing in artificial intelligence worldwide (%, by industry). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.

In Czech

Autoři předkládají vhled do relevantní literatury o udržitelné výrobě v průmyslu 4.0 a poskytují jak kvantitativní důkazy o trendech, tak řadu podrobných empirických příkladů. Jsou provedeny analýzy a odhady povědomí a využití aplikací pro chytré telefony představujících prvky strojového učení (%), prvky, u nichž se očekává, že budou v roce 2030 vysoce významné v automobilovém hodnotovém řetězci (%), a podíl společností, které investují do umělé inteligence po celém světě (%, podle odvětví). Data shromážděná od 4 600 respondentů jsou testována na strukturálním modelu pomocí modelování strukturální rovnice.

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Cite

HAYHOE, Terry; Ivana PODHORSKÁ; Anna SIEKELOVÁ and Vojtěch STEHEL. Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making. Journal of Self-Governance and Management Economics. New York, USA: Addleton Academic Publishers, 2019, vol. 7, No 2, p. 31-36. ISSN 2329-4175. Available from: https://dx.doi.org/10.22381/JSME7220195.

@article{50221,
   author = {Hayhoe, Terry and Podhorská, Ivana and Siekelová, Anna and Stehel, Vojtěch},
   article_location = {New York, USA},
   article_number = {2},
   doi = {http://dx.doi.org/10.22381/JSME7220195},
   keywords = {sustainable manufacturing; Industry 4.0; cyber-physical production system},
   language = {eng},
   issn = {2329-4175},
   journal = {Journal of Self-Governance and Management Economics},
   title = {Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making},
   url = {https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making},
   volume = {7},
   year = {2019}
}

TY  - JOUR
ID  - 50221
AU  - Hayhoe, Terry - Podhorská, Ivana - Siekelová, Anna - Stehel, Vojtěch
PY  - 2019
TI  - Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making
JF  - Journal of Self-Governance and Management Economics
VL  - 7
IS  - 2
SP  - 31-36
EP  - 31-36
PB  - Addleton Academic Publishers
SN  - 23294175
KW  - sustainable manufacturing
KW  - Industry 4.0
KW  - cyber-physical production system
UR  - https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making
L2  - https://addletonacademicpublishers.com/contents-jsme/1647-volume-7-2-2019/3544-sustainable-manufacturing-in-industry-4-0-cross-sector-networks-of-multiple-supply-chains-cyber-physical-production-systems-and-ai-driven-decision-making
N2  - Authors submit an insight into relevant literature on sustainable manufacturing in Industry 4.0, providing both quantitative evidence on trends and numerous in-depth empirical examples. They perform analyses and make estimates regarding awareness and usage of smartphone applications featuring machine learning (%), elements that are expected to be highly relevant along the automotive value chain in 2030 (%), and share of companies investing in artificial intelligence worldwide (%, by industry). Data collected from 4,600 respondents are tested against the research model by using structural equation modeling.
ER  -

HAYHOE, Terry; Ivana PODHORSKÁ; Anna SIEKELOVÁ and Vojtěch STEHEL. Sustainable manufacturing in Indrustry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and al-driven decision-making. \textit{Journal of Self-Governance and Management Economics}. New York, USA: Addleton Academic Publishers, 2019, vol.~7, No~2, p.~31-36. ISSN~2329-4175. Available from: https://dx.doi.org/10.22381/JSME7220195.

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