Açık Akademik Arşiv Sistemi

Fuzzy cognitive mapping approach to the assessment of Industry 4.0 tendency

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dc.rights.license Bronze
dc.date.accessioned 2021-06-03T08:20:30Z
dc.date.available 2021-06-03T08:20:30Z
dc.date.issued 2020
dc.identifier.issn 1026-3098
dc.identifier.uri www.doi.org/10.24200/sci.2019.51200.2057
dc.identifier.uri https://hdl.handle.net/20.500.12619/95194
dc.description Bu yayın 06.11.1981 tarihli ve 17506 sayılı Resmî Gazete’de yayımlanan 2547 sayılı Yükseköğretim Kanunu’nun 4/c, 12/c, 42/c ve 42/d maddelerine dayalı 12/12/2019 tarih, 543 sayılı ve 05 numaralı Üniversite Senato Kararı ile hazırlanan Sakarya Üniversitesi Açık Bilim ve Açık Akademik Arşiv Yönergesi gereğince açık akademik arşiv sistemine açık erişim olarak yüklenmiştir.
dc.description.abstract Proper understanding of the conceptual and practical counterparts of Industry 4.0 is of great importance as global competition has made the technology-based production a necessity. The aim of the present study was to propose a model that would predict the existing and future Industry 4.0 levels for companies. The changes of the concepts were examined and interpreted for three different hypothetically developed scenarios. In the first scenario, an organization that was poorly managed in terms of the development of Industry 4.0 was considered. The Industry 4.0 tendency was calculated at 0.04, reaching a steady state after 12 time periods using the Fuzzy Cognitive Maps (FCMs) algorithm. Moderate and well managed organizations were considered in Scenarios 2 and 3, respectively. The Industry 4.0 tendency reached 0.12 after 15 time periods in Scenario 2 and 0.95 at the end of five iterations in the third scenario with the concept values indicating well managed situation in the latter case. In addition, strategy and organization, smart operation, and smart factory concepts were found to make the most significant contribution to the Industry 4.0 level in the static analysis. (C) 2020 Sharif University of Technology. All rights reserved.
dc.language English
dc.language.iso İngilizce
dc.publisher SHARIF UNIV TECHNOLOGY
dc.relation.isversionof 10.24200/sci.2019.51200.2057
dc.rights info:eu-repo/semantics/openAccess
dc.subject MAPS
dc.subject KNOWLEDGE
dc.subject SUPPORT
dc.subject SYSTEM
dc.subject MODEL
dc.subject Fuzzy cognitive maps
dc.subject Industry 4.0
dc.subject Strategic management
dc.title Fuzzy cognitive mapping approach to the assessment of Industry 4.0 tendency
dc.type Article
dc.identifier.volume 27
dc.identifier.startpage 2635
dc.identifier.endpage 2643
dc.relation.journal SCIENTIA IRANICA
dc.identifier.issue 5
dc.identifier.wos WOS:000608364200009
dc.identifier.doi 10.24200/sci.2019.51200.2057
dc.contributor.author Kiraz, A.
dc.contributor.author Uygun, O.
dc.contributor.author Erkan, E. F.
dc.contributor.author Canpolat, O.
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı


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