Repository logo
 
Publication

Manufacturing system and enterprise management for Industry 4.0: Guest editorial

dc.contributor.authorPutnik, Goran
dc.contributor.authorÁvila, Paulo
dc.date.accessioned2022-01-25T11:20:46Z
dc.date.available2022-01-25T11:20:46Z
dc.date.issued2021
dc.description.abstractIndustry 4.0 (I4.0) represents a significant step in the processes transformation in practically every industry, where the smart concept emerges in autonomous decisions and cyber-physical systems based production systems [1]. The role played by the usually referred technological pillars of I4.0 (such as internet of things (IoT), horizontal and vertical system integration, simulation, autonomous robots, big data and analytics, augmented reality, additive manufacturing, cloud computing and cybersecurity), based on technological advancements (mainly Information and Communications Technology (ICT)), in adhering to I4.0, are well known by the industry and academia (attending the huge number of research papers available), and have being implemented with more or less success. Notwithstanding the significant expected opportunities and impact of the fourth industrial revolution identified by researchers, experts are not convinced that the changes will be as significant as forecasted [2 - 4]. According to [5], only rare and recent attempts to understand the critical success factors of I4.0 implementation in manufacturing companies can be found in literature. A few recent studies reviewed in [5], point out that some of the critical factors are related to the management for I4.0. Cumulatively, the research in the field of management for I4.0, is still scarce, compared with the research on technologies for I4.0. The title of this Special Issue “Manufacturing System and Enterprise Management for Industry 4.0” is aligned with that concern and its content should be seen as a contribution to overcome management deficit problem of I4.0 implementation success. Nowadays, the challenges are related to the way how I4.0 is implemented and managed, in order to achieve the desired outcomes, economic, environmental, and social.pt_PT
dc.description.sponsorshipFirst, our acknowledgments and greatest thanks go to Professor Bosko Rasuo, Editor-in-Chief of the FME Transactions, for his highest support and professionalism and, more importantly, his highest collaboration, understanding and patience during the development of this Special Issue. Next, our acknowledgments go to the authors, for their contributions and collaboration, and to the reviewers, for their great effort during the review process and for the suggestions they provided to the authors. Acknowledgments go also to our institutions, University of Minho and Polytechnic of Porto, and to the Research centres within which this project on this Special Issue has been developed, namely to ALGORITMI Research Center of the University of Minho and INESC TEC - Institute for Systems and Computer Engineering, Technology and Science. The guest editors want to acknowledge as well that this work has been supported by FCT – Fundação para a Ciência e Tecnologia within the R&D Units Project Scope: UIDB/00319/2020.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.5937/fme2104769Ppt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/19654
dc.language.isoengpt_PT
dc.publisherFaculty of Mechanical Engineering, Belgradept_PT
dc.relationALGORITMI Research Center
dc.relation.publisherversionhttps://www.mas.bg.ac.rs/istrazivanje/fme/vol49pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.titleManufacturing system and enterprise management for Industry 4.0: Guest editorialpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PT
oaire.citation.endPage772pt_PT
oaire.citation.issue4pt_PT
oaire.citation.startPage769pt_PT
oaire.citation.titleFME Transactionspt_PT
oaire.citation.volume49pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameÁvila
person.givenNamePaulo
person.identifier631747
person.identifier.ciencia-id5F17-10EE-C0CE
person.identifier.orcid0000-0001-8420-0875
person.identifier.scopus-author-id8609138000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isAuthorOfPublication.latestForDiscovery444efa0f-ca28-4743-8e78-7d31b0abde47
relation.isProjectOfPublicationc9f04b82-b1b1-46ea-b7f6-87f447dd79f0
relation.isProjectOfPublication.latestForDiscoveryc9f04b82-b1b1-46ea-b7f6-87f447dd79f0

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ART_DEM_putnik_et_al_editorial_2021.pdf
Size:
164.46 KB
Format:
Adobe Portable Document Format