Large-scale manufacturing in North America: How machine learning and analytics improve efficiency
Nowadays, we are unquestionably in the era of info. Big Data Analytics isn't a point of view for all levels of the company. This is of specific fascination with the production pastime, together with the higher capital severeness of theirs, time constraints, and also offered the substantial quan...
| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Czech Technical University in Prague
2023-06-01
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| Series: | Business & IT |
| Subjects: | |
| Online Access: | http://bit.fsv.cvut.cz/issues/01-23/full_01-23_20.pdf |
| _version_ | 1797400581015339008 |
|---|---|
| author | Alberto Valentino Gonsalez |
| author_facet | Alberto Valentino Gonsalez |
| author_sort | Alberto Valentino Gonsalez |
| collection | DOAJ |
| description | Nowadays, we are unquestionably in the era of info. Big Data Analytics isn't a point of view for all levels of the company. This is of specific fascination with the production pastime, together with the higher capital severeness of theirs, time constraints, and also offered the substantial quantity of info today captured. Nevertheless, there is a paucity in last literature on BDA in developing a far better understanding of the capabilities of the strategic ramifications to get importance from BDA. In that vein, the primary objective of this specific paper is generally to produce a novel layout that summarizes the main capabilities of BDA in the context of the manufacturing process. This is performed by relying on the end result of an analysis of the continuing exploration, together with a numerous case study in a visible phosphates derivatives company, to note the capabilities of BDA in the manufacturing process, in addition to outline suggestions to advance exploration of the market. The end result will help companies realize the main information analytics capabilities, as well as the possible implications for their production activity, and support them wanting to create much better BDA enabler infrastructure. |
| first_indexed | 2024-03-09T01:57:37Z |
| format | Article |
| id | doaj.art-4bfd4a9e9f2f4279ae8ac86454fbaf5b |
| institution | Directory Open Access Journal |
| issn | 1805-3777 2570-7434 |
| language | English |
| last_indexed | 2024-03-09T01:57:37Z |
| publishDate | 2023-06-01 |
| publisher | Czech Technical University in Prague |
| record_format | Article |
| series | Business & IT |
| spelling | doaj.art-4bfd4a9e9f2f4279ae8ac86454fbaf5b2023-12-08T13:04:59ZengCzech Technical University in PragueBusiness & IT1805-37772570-74342023-06-0113118119210.14311/bit.2023.01.20Large-scale manufacturing in North America: How machine learning and analytics improve efficiencyAlberto Valentino Gonsalez0Pennsylavania State UniversityNowadays, we are unquestionably in the era of info. Big Data Analytics isn't a point of view for all levels of the company. This is of specific fascination with the production pastime, together with the higher capital severeness of theirs, time constraints, and also offered the substantial quantity of info today captured. Nevertheless, there is a paucity in last literature on BDA in developing a far better understanding of the capabilities of the strategic ramifications to get importance from BDA. In that vein, the primary objective of this specific paper is generally to produce a novel layout that summarizes the main capabilities of BDA in the context of the manufacturing process. This is performed by relying on the end result of an analysis of the continuing exploration, together with a numerous case study in a visible phosphates derivatives company, to note the capabilities of BDA in the manufacturing process, in addition to outline suggestions to advance exploration of the market. The end result will help companies realize the main information analytics capabilities, as well as the possible implications for their production activity, and support them wanting to create much better BDA enabler infrastructure.http://bit.fsv.cvut.cz/issues/01-23/full_01-23_20.pdfmanufacturingsustainableamerica |
| spellingShingle | Alberto Valentino Gonsalez Large-scale manufacturing in North America: How machine learning and analytics improve efficiency Business & IT manufacturing sustainable america |
| title | Large-scale manufacturing in North America: How machine learning and analytics improve efficiency |
| title_full | Large-scale manufacturing in North America: How machine learning and analytics improve efficiency |
| title_fullStr | Large-scale manufacturing in North America: How machine learning and analytics improve efficiency |
| title_full_unstemmed | Large-scale manufacturing in North America: How machine learning and analytics improve efficiency |
| title_short | Large-scale manufacturing in North America: How machine learning and analytics improve efficiency |
| title_sort | large scale manufacturing in north america how machine learning and analytics improve efficiency |
| topic | manufacturing sustainable america |
| url | http://bit.fsv.cvut.cz/issues/01-23/full_01-23_20.pdf |
| work_keys_str_mv | AT albertovalentinogonsalez largescalemanufacturinginnorthamericahowmachinelearningandanalyticsimproveefficiency |