Creating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodology

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dc.authoridkaya, ihsan/0000-0002-0142-4257
dc.authoridKarasan, Ali/0000-0002-5571-6554
dc.authorwosidkaya, ihsan/AAG-5642-2019
dc.authorwosidKarasan, Ali/U-3966-2017
dc.authorwosidERDOGAN, Melike/L-6949-2013
dc.contributor.authorKaya, Ihsan
dc.contributor.authorErdogan, Melike
dc.contributor.authorKarasan, Ali
dc.contributor.authorOzkan, Betul
dc.date.accessioned2021-12-01T18:48:38Z
dc.date.available2021-12-01T18:48:38Z
dc.date.issued2020
dc.department[Belirlenecek]en_US
dc.description.abstractIndustry 4.0 can be defined as a creative manufacturing concept which is the integration of up-to-date technologies such as wireless systems, cyberphysical systems, Internet of things, cloud computing, big data concept to increase flexibility, and speed in production systems. The concept also aims to transform the manufacturing industry into the next generation. Selection among appropriate strategies for transition to industry 4.0 is crucial and should be considered in a multidimensional perspective since the decision process involves many strategies with respect to multicriteria based on the judgments of multiexperts. In this paper, this critical decision has been considered as a multicriteria decision-making (MCDM) problem under the uncertainty and vagueness environments. To increase the applicability of the uncertain data for the proposed methodology, intuitionistic fuzzy sets have been adopted. In other words, an integrated fuzzy MCDM methodology consists of interval-valued intuitionistic fuzzy analytic hierarchy process and interval-valued intuitionistic fuzzy technique for order performance by similarity to ideal solution has been suggested to prioritize of transition strategies for industry 4.0. According to proposed approach, Training and continuing professional development is determined as the most important strategy during the transition process, while Technology and Equipment and Tools are specified as the most crucial main and sub-criterion, respectively. For the validation process, we also applied two distance-based methods on the same decision matrices as a comparative analysis. Both analyses' results yield that the proposed methodology is applicable and effective for the decision-making process. Besides, the results of the one-at-a-time sensitivity analyses based on the changes of main criteria weights confirm the sensitivity and flexibility of the proposed methodology. Finally, a road map for transition to industry 4.0 has been determined with respect to priorities of strategies based on the constructed context.en_US
dc.identifier.doi10.1007/s00500-020-05041-0
dc.identifier.endpage17956en_US
dc.identifier.issn1432-7643
dc.identifier.issn1433-7479
dc.identifier.issue23en_US
dc.identifier.scopus2-s2.0-85085280429en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage17931en_US
dc.identifier.urihttps://doi.org/10.1007/s00500-020-05041-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/10575
dc.identifier.volume24en_US
dc.identifier.wosWOS:000534440000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofSoft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectIndustry 4en_US
dc.subject0en_US
dc.subjectMulticriteria decision makingen_US
dc.subjectStrategy selectionen_US
dc.subjectInterval-valued intuitionistic fuzzy setsen_US
dc.subjectAHPen_US
dc.subjectTOPSISen_US
dc.subjectTopsis Methoden_US
dc.subjectModelen_US
dc.subjectRisken_US
dc.subjectSelectionen_US
dc.subjectTechnologiesen_US
dc.subjectHealthen_US
dc.subjectAhpen_US
dc.titleCreating a road map for industry 4.0 by using an integrated fuzzy multicriteria decision-making methodologyen_US
dc.typeArticleen_US

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