Predictive Manufacturing: Enabling Technologies, Frameworks and Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

The impact of globalization and the recent advancements in Information and Communication Technologies has pushed the manufacturing sector towards a new transformation. Current manufacturers with the help of recent advances in Cloud Computing, Artificial Intelligence, and Internet of Things are moving towards a new intelligent system called Predictive Manufacturing Systems (PMS). These systems can be used in a wide array of applications, including proactive maintenance, improved quality control and higher performance. This paper provides an overview of the current trends in Predictive Manufacturing Systems in recent years. The paper discusses the developed frameworks, enabling technologies and various applications of Predictive Manufacturing Systems.

Original languageEnglish
Title of host publicationTechnological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
EditorsLuis M. Camarinha-Matos, Pedro Ferreira, Guilherme Brito
PublisherSpringer Science and Business Media Deutschland GmbH
Pages51-61
Number of pages11
ISBN (Print)9783030782870
DOIs
Publication statusPublished - 2021
Event12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021 - Costa de Caparica and Online, Portugal
Duration: 7 Jul 20219 Jul 2021

Publication series

NameIFIP Advances in Information and Communication Technology
Volume626
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Country/TerritoryPortugal
CityCosta de Caparica and Online
Period7/07/219/07/21

Keywords

  • Artificial intelligence
  • Cloud computing
  • Data analytics
  • Internet of Things
  • Predictive manufacturing systems
  • Smart manufacturing

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