Characteristics of Adaptable Control of Production Systems and the Role of Self-organization Towards Smart Manufacturing

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

Abstract

Self-adaptive control of production systems has attracted a lot of research during last years. Nevertheless, most of these approaches are still unable to tackle current manufacturing expectations, they are very particular for the case study, are in an initial stage of research or do not apply the concept of self-organization and their properties in its strong sense. Thus, leaving the systems without enough robustness, adaptability, or emergence that are highly desirable considering current market requirements. Therefore, the purpose of this work to identify some of the important characteristics that have been applied in past studies and that can be considered together as a baseline to build future manufacturing frameworks.

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
Pages39-50
Number of pages12
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

  • Cyber-physical production systems
  • Manufacturing requirements
  • Self-organization
  • Smart manufacturing

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