Cargando…

I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned

Industry 4.0 considers the combinations of Internet of Things, computing and communication infrastructure, sensors, and artificial intelligence (AI) to provide predictive maintenance and process optimization. These benefits are very relevant to the semiconductor industry, where high reliability and...

Descripción completa

Detalles Bibliográficos
Autores principales: Silveira, Gabriel do N., Viana, Rafael F., Lima, Miromar J., Kuhn, Henrique C., Crovato, Cesar David P., Ferreira, Sandro B., Pesenti, Giovani, Storck, Erick, Righi, Rodrigo da Rosa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600881/
https://www.ncbi.nlm.nih.gov/pubmed/33050452
http://dx.doi.org/10.3390/s20205752
_version_ 1783603260816359424
author Silveira, Gabriel do N.
Viana, Rafael F.
Lima, Miromar J.
Kuhn, Henrique C.
Crovato, Cesar David P.
Ferreira, Sandro B.
Pesenti, Giovani
Storck, Erick
Righi, Rodrigo da Rosa
author_facet Silveira, Gabriel do N.
Viana, Rafael F.
Lima, Miromar J.
Kuhn, Henrique C.
Crovato, Cesar David P.
Ferreira, Sandro B.
Pesenti, Giovani
Storck, Erick
Righi, Rodrigo da Rosa
author_sort Silveira, Gabriel do N.
collection PubMed
description Industry 4.0 considers the combinations of Internet of Things, computing and communication infrastructure, sensors, and artificial intelligence (AI) to provide predictive maintenance and process optimization. These benefits are very relevant to the semiconductor industry, where high reliability and low operating costs are critical for a business’ success. Analyzing the state-of-the-art of the projects that present the implementation of the fourth industrial revolution in semiconductor companies, we noticed mainly two branches of initiatives: (i) articles that explain the final achievements, not detailing how they were assembled and structured; (ii) articles that detail a part of the industry ecosystem, for example, approaching only the communication system or AI algorithms. In this context, this article proposes an I4.0 Pilot as a compilation of lessons learned during an end-to-end development of a reference design applied to a semiconductor packaging and test company. We explore the requirements of clean rooms and information related to sensors and data acquisition boards, in addition to performance details and configurations pertaining to visualization tools and warning notifications. The main contribution appears in presenting the advantages of adopting flexible decisions in the pilot to enable the best characteristics for a final expandable solution. Our final idea is to emphasize the importance of having a pilot project without significant expenses, presenting the reader with the acquired knowledge, and how they can benefit from it.
format Online
Article
Text
id pubmed-7600881
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-76008812020-11-01 I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned Silveira, Gabriel do N. Viana, Rafael F. Lima, Miromar J. Kuhn, Henrique C. Crovato, Cesar David P. Ferreira, Sandro B. Pesenti, Giovani Storck, Erick Righi, Rodrigo da Rosa Sensors (Basel) Article Industry 4.0 considers the combinations of Internet of Things, computing and communication infrastructure, sensors, and artificial intelligence (AI) to provide predictive maintenance and process optimization. These benefits are very relevant to the semiconductor industry, where high reliability and low operating costs are critical for a business’ success. Analyzing the state-of-the-art of the projects that present the implementation of the fourth industrial revolution in semiconductor companies, we noticed mainly two branches of initiatives: (i) articles that explain the final achievements, not detailing how they were assembled and structured; (ii) articles that detail a part of the industry ecosystem, for example, approaching only the communication system or AI algorithms. In this context, this article proposes an I4.0 Pilot as a compilation of lessons learned during an end-to-end development of a reference design applied to a semiconductor packaging and test company. We explore the requirements of clean rooms and information related to sensors and data acquisition boards, in addition to performance details and configurations pertaining to visualization tools and warning notifications. The main contribution appears in presenting the advantages of adopting flexible decisions in the pilot to enable the best characteristics for a final expandable solution. Our final idea is to emphasize the importance of having a pilot project without significant expenses, presenting the reader with the acquired knowledge, and how they can benefit from it. MDPI 2020-10-10 /pmc/articles/PMC7600881/ /pubmed/33050452 http://dx.doi.org/10.3390/s20205752 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Silveira, Gabriel do N.
Viana, Rafael F.
Lima, Miromar J.
Kuhn, Henrique C.
Crovato, Cesar David P.
Ferreira, Sandro B.
Pesenti, Giovani
Storck, Erick
Righi, Rodrigo da Rosa
I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title_full I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title_fullStr I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title_full_unstemmed I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title_short I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
title_sort i4.0 pilot project on a semiconductor industry: implementation and lessons learned
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7600881/
https://www.ncbi.nlm.nih.gov/pubmed/33050452
http://dx.doi.org/10.3390/s20205752
work_keys_str_mv AT silveiragabrieldon i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT vianarafaelf i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT limamiromarj i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT kuhnhenriquec i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT crovatocesardavidp i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT ferreirasandrob i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT pesentigiovani i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT storckerick i40pilotprojectonasemiconductorindustryimplementationandlessonslearned
AT righirodrigodarosa i40pilotprojectonasemiconductorindustryimplementationandlessonslearned