WHITTLE, Therese, Elena GREGOVA, Ivana PODHORSKÁ a Zuzana ROWLAND. Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement. Economics, Management, and Financial Markets. New York City, USA: Addleton Academic Publishers, 2019, roč. 14, č. 2, s. 52-57. ISSN 1842-3191. Dostupné z: https://dx.doi.org/10.22381/EMFM14220193. |
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@article{50081, author = {Whittle, Therese and Gregova, Elena and Podhorská, Ivana and Rowland, Zuzana}, article_location = {New York City, USA}, article_number = {2}, doi = {http://dx.doi.org/10.22381/EMFM14220193}, keywords = {data-driven algorithm; smart manufacturing; sustainable value creation}, language = {eng}, issn = {1842-3191}, journal = {Economics, Management, and Financial Markets}, title = {Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement}, url = {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}, volume = {14}, year = {2019} }
TY - JOUR ID - 50081 AU - Whittle, Therese - Gregova, Elena - Podhorská, Ivana - Rowland, Zuzana PY - 2019 TI - Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement JF - Economics, Management, and Financial Markets VL - 14 IS - 2 SP - 52-57 EP - 52-57 PB - Addleton Academic Publishers SN - 18423191 KW - data-driven algorithm KW - smart manufacturing KW - sustainable value creation UR - 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 L2 - 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 N2 - 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. ER -
WHITTLE, Therese, Elena GREGOVA, Ivana PODHORSKÁ a Zuzana ROWLAND. Smart manufacturing technologies: Data-driven algorithms in production planning, sustainable value creation, and operational performance improvement. \textit{Economics, Management, and Financial Markets}. New York City, USA: Addleton Academic Publishers, 2019, roč.~14, č.~2, s.~52-57. ISSN~1842-3191. Dostupné z: https://dx.doi.org/10.22381/EMFM14220193.
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