<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.</p>
</abstract>

Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in the context of Industry 4.0. Manufacturers apply cognitive technologies to review current business metrics, solve essential business problems, generate new value in their manufacturing data and improve quality. The article investigates four powerful applications for cognitive manufacturing and their influence on a company`s maintenance. The study aims to observe kinds of cognitive technology applications for smart manufacturing, distinguish their prospective gains for manufacturers and provide successful examples of their adoption. The analysis is based on the literature and report review. Assessment of the cases of technology adoption proves that cognitive manufacturing provides both enhanced knowledge management and helps organizations improve fundamental business measurements, such as productivity, product reliability, quality, safety, and yield while reducing downtime and lowering costs.

Efficient Practices of Cognitive Technology Application for Smart Manufacturing

Management Systems in Production Engineering

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Efficient Practices of Cognitive Technology Application for Smart Manufacturing"}

Cognitive manufacturing (CM) provides for the merging of sensor-based information, advanced analytics, and cognitive technologies, mainly machine learning in...

Efficient Practices of Cognitive Technology Application for Smart Manufacturing

Pubblicato online: 19 mag 2022

Pagine: 187 - 191

Ricevuto: 01 gen 2022

Accettato: 01 apr 2022

DOI: https://doi.org/10.2478/mspe-2022-0023

Parole chiave
cognitive manufacturing, cognitive technology, Industry 4.0

© 2022 Mariya Sira, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Efficient Practices of Cognitive Technology Application for Smart Manufacturing

Pubblicato online: 19 mag 2022

Pagine: 187 - 191

Ricevuto: 01 gen 2022

Accettato: 01 apr 2022

DOI: https://doi.org/10.2478/mspe-2022-0023

Parole chiavecognitive manufacturing, cognitive technology, Industry 4.0

© 2022 Mariya Sira, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
cognitive manufacturing, cognitive technology, Industry 4.0