Evaluating Strategies for Implementing Industry 4.0: A Hybrid Expert Oriented Approach of BWM and Interval Valued Intuitionistic Fuzzy TODIM

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dc.cclicenceCC-BY-NCen
dc.contributor.authorAmoozad Mahdiraji, Hannan
dc.contributor.authorZavadskas, E.K.
dc.contributor.authorRajabi, R.
dc.contributor.authorArab, A.
dc.date.acceptance2020-04-02
dc.date.accessioned2020-11-11T12:47:52Z
dc.date.available2020-11-11T12:47:52Z
dc.date.issued2020-05-02
dc.descriptionopen access articleen
dc.description.abstractDeveloping and accepting industry 4.0 influences the industry structure and customer willingness. To a successful transition to industry 4.0, implementation strategies should be selected with a systematic and comprehensive view to responding to the changes flexibly. This research aims to identify and prioritise the strategies for implementing industry 4.0. For this purpose, at first, evaluation attributes of strategies and also strategies to put industry 4.0 in practice are recognised. Then, the attributes are weighted to the experts’ opinion by using the Best Worst Method (BWM). Subsequently, the strategies for implementing industry 4.0 in Fara-Sanat Company, as a case study, have been ranked based on the Interval Valued Intuitionistic Fuzzy (IVIF) of the TODIM method. The results indicated that the attributes of ‘Technology’, ‘Quality’, and ‘Operation’ have respectively the highest importance. Furthermore, the strategies for “new business models development’, ‘Improving information systems’ and ‘Human resource management’ received a higher rank. Eventually, some research and executive recommendations are provided. Having strategies for implementing industry 4.0 is a very important solution. Accordingly, multi-criteria decision-making (MCDM) methods are a useful tool for adopting and selecting appropriate strategies. In this research, a novel and hybrid combination of BWM-TODIM is presented under IVIF information.en
dc.exception.ref2021codes254aen
dc.funderNo external funderen
dc.identifier.citationMahdiraji, H. A., Zavadskas, E. K., Skare, M., Kafshgar, F. Z. R., and Arab, A. (2020) Evaluating strategies for implementing industry 4.0: a hybrid expert oriented approach of BWM and interval valued intuitionistic fuzzy TODIM. Economic Research-Ekonomska Istraživanja, 33(1), pp. 1600-1620.en
dc.identifier.doihttps://doi.org/10.1080/1331677X.2020.1753090
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20409
dc.language.isoenen
dc.peerreviewedYesen
dc.publisherTaylor and Francisen
dc.subjectindustry 4.0en
dc.subjectBest Worst Methoden
dc.subjectInterval Valued Intuitionistic Fuzzy (IVIF)en
dc.subjectmulti-criteria decision-making (MCDM)en
dc.subjectTODIMen
dc.subjectinformation systemsen
dc.titleEvaluating Strategies for Implementing Industry 4.0: A Hybrid Expert Oriented Approach of BWM and Interval Valued Intuitionistic Fuzzy TODIMen
dc.typeArticleen

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