Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F19%3A00001582" target="_blank" >RIV/75081431:_____/19:00001582 - isvavai.cz</a>
Result on the web
<a href="https://addletonacademicpublishers.com/contents-emfm/1623-volume-14-2-2019/3546-smart-manufacturing-technologies-data-driven-algorithms-in-production-planning-sustainable-value-creation-and-operational-performance-improvement" target="_blank" >https://addletonacademicpublishers.com/contents-emfm/1623-volume-14-2-2019/3546-smart-manufacturing-technologies-data-driven-algorithms-in-production-planning-sustainable-value-creation-and-operational-performance-improvement</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.22381/EMFM14220193" target="_blank" >10.22381/EMFM14220193</a>
Alternative languages
Result language
angličtina
Original language name
Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement
Original language description
Using and replicating data authors performed analyses and made estimates regarding industries targeted by machine learning application developers, the main areas of interest for manufacturers within Industry 4.0, retailers planning to invest in artificial intelligence and Internet of Things technologies by 2021, and benefits of implementing artificial intelligence.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Economics, Management, and Financial Markets
ISSN
1842-3191
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
52-57
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85071152562