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, vol. 14, No 4, p. 9-15. ISSN 1842-3191. doi:10.22381/EMFM14420191. 2019.
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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
Original language English
Type of outcome Article in a journal
Field of Study 50200 5.2 Economics and Business
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW 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
Tags FIP_1, RIV19, SCOPUS
Changed by Changed by: Ing. Anna Palokha, učo 18083. Changed: 22/4/2020 14:33.
Abstract
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.
Abstract (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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