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Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review
This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the ti...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002468/ https://www.ncbi.nlm.nih.gov/pubmed/35408059 http://dx.doi.org/10.3390/s22072445 |
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author | Kubiak, Kacper Dec, Grzegorz Stadnicka, Dorota |
author_facet | Kubiak, Kacper Dec, Grzegorz Stadnicka, Dorota |
author_sort | Kubiak, Kacper |
collection | PubMed |
description | This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. As the results of the analyses showed, great importance is also attached to energy consumption, both in ongoing production processes and for the purposes of data transmission and analysis. This paper also highlights problems related to quality management. Based on the analyses, we indicate further research directions for the application of edge computing and associated technologies that are required in the area of intelligent resource scheduling (for flexible production systems and autonomous systems), anomaly detection and resulting decision making, data analysis and transfer, knowledge management (for smart designing), and simulations (for autonomous systems). |
format | Online Article Text |
id | pubmed-9002468 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90024682022-04-13 Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review Kubiak, Kacper Dec, Grzegorz Stadnicka, Dorota Sensors (Basel) Article This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings showed that the primary goal of EC is to reduce the time required to transfer large amounts of data. With the ability to analyze data at the edge, it is possible to obtain immediate feedback and use it in the decision-making process. However, the implementation of EC requires investments not only in infrastructure, but also in the development of employee knowledge related to modern computing methods based on artificial intelligence. As the results of the analyses showed, great importance is also attached to energy consumption, both in ongoing production processes and for the purposes of data transmission and analysis. This paper also highlights problems related to quality management. Based on the analyses, we indicate further research directions for the application of edge computing and associated technologies that are required in the area of intelligent resource scheduling (for flexible production systems and autonomous systems), anomaly detection and resulting decision making, data analysis and transfer, knowledge management (for smart designing), and simulations (for autonomous systems). MDPI 2022-03-22 /pmc/articles/PMC9002468/ /pubmed/35408059 http://dx.doi.org/10.3390/s22072445 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kubiak, Kacper Dec, Grzegorz Stadnicka, Dorota Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title | Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title_full | Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title_fullStr | Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title_full_unstemmed | Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title_short | Possible Applications of Edge Computing in the Manufacturing Industry—Systematic Literature Review |
title_sort | possible applications of edge computing in the manufacturing industry—systematic literature review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9002468/ https://www.ncbi.nlm.nih.gov/pubmed/35408059 http://dx.doi.org/10.3390/s22072445 |
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