Cognitive decision-making algorithms for sustainable
manufacturing processes in Industry 4.0: Networked, smart, and
responsive devices

J 2019

Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices

HOLLOWELL, Jane Catherine, Boris KOLLÁR, Jaromír VRBKA and Erika KOVALOVÁ

Basic information

Original name

Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices

Name in Czech

Kognitivní rozhodovací algoritmy pro udržitelné výrobní procesy v Průmyslu 4.0: síťová, inteligentní a pohotová zařízení

Authors

HOLLOWELL, Jane Catherine (36 Australia, guarantor), Boris KOLLÁR (703 Slovakia), Jaromír VRBKA (203 Czech Republic, belonging to the institution) and Erika KOVALOVÁ (703 Slovakia)

Edition

Economics, Management, and Financial Markets, New York City, USA, Addleton Academic Publishers, 2019, 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:_____/19:00001702

Organization unit

Institute of Technology and Business in České Budějovice

DOI

http://dx.doi.org/10.22381/EMFM14420191

Keywords (in Czech)

poznání; rozhodování; algoritmus; Průmysl 4.0; udržitelnost

Keywords in English

cognition; decision making; algorithm; Industry 4.0; sustainability

Abstract

ORIG CZ

V originále

Based on an in-depth survey of the literature, the purpose of the paper is to better understand cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0. Using and replicating data authors performed analyses and made estimates regarding Industry 4.0 levers mapped to the main value drivers, current status of smart factory initiatives, and transformation management intensity parameters.

In Czech

Účelem příspěvku je na základě hloubkového průzkumu literatury lépe porozumět kognitivním algoritmům rozhodování pro udržitelné výrobní procesy v průmyslu 4.0. Pomocí a replikace dat autoři provedli analýzy a provedli odhady týkající se Průmyslu 4.0 v souvislosti s generátory hodnoty, zhodnotili současný stav iniciativ inteligentních továren a parametry intenzity managementu transformace.

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Citovat

HOLLOWELL, Jane Catherine, Boris KOLLÁR, Jaromír VRBKA and Erika KOVALOVÁ. Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices. Economics, Management, and Financial Markets. New York City, USA: Addleton Academic Publishers, 2019, vol. 14, No 4, p. 9-15. ISSN 1842-3191. Available from: https://dx.doi.org/10.22381/EMFM14420191.

@article{52861,
   author = {Hollowell, Jane Catherine and Kollár, Boris and Vrbka, Jaromír and Kovalová, Erika},
   article_location = {New York City, USA},
   article_number = {4},
   doi = {http://dx.doi.org/10.22381/EMFM14420191},
   keywords = {cognition; decision making; algorithm; Industry 4.0; sustainability},
   language = {eng},
   issn = {1842-3191},
   journal = {Economics, Management, and Financial Markets},
   title = {Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices},
   url = {https://addletonacademicpublishers.com/contents-emfm/1797-volume-14-4-2019/3686-cognitive-decision-making-algorithms-for-sustainable-manufacturing-processes-in-industry-4-0-networked-smart-and-responsive-devices},
   volume = {14},
   year = {2019}
}

TY  - JOUR
ID  - 52861
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PY  - 2019
TI  - Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices
JF  - Economics, Management, and Financial Markets
VL  - 14
IS  - 4
SP  - 9-15
EP  - 9-15
PB  - Addleton Academic Publishers
SN  - 18423191
KW  - cognition
KW  - decision making
KW  - algorithm
KW  - Industry 4.0
KW  - sustainability
UR  - https://addletonacademicpublishers.com/contents-emfm/1797-volume-14-4-2019/3686-cognitive-decision-making-algorithms-for-sustainable-manufacturing-processes-in-industry-4-0-networked-smart-and-responsive-devices
L2  - https://addletonacademicpublishers.com/contents-emfm/1797-volume-14-4-2019/3686-cognitive-decision-making-algorithms-for-sustainable-manufacturing-processes-in-industry-4-0-networked-smart-and-responsive-devices
N2  - Based on an in-depth survey of the literature, the purpose of the paper is to better understand cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0. Using and replicating data authors performed analyses and made estimates regarding Industry 4.0 levers mapped to the main value drivers, current status of smart factory initiatives, and transformation management intensity parameters.
ER  -

HOLLOWELL, Jane Catherine, Boris KOLLÁR, Jaromír VRBKA and Erika KOVALOVÁ. Cognitive decision-making algorithms for sustainable manufacturing processes in Industry 4.0: Networked, smart, and responsive devices. \textit{Economics, Management, and Financial Markets}. New York City, USA: Addleton Academic Publishers, 2019, vol.~14, No~4, p.~9-15. ISSN~1842-3191. Available from: https://dx.doi.org/10.22381/EMFM14420191.

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