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A Fuzzy Based Risk Evaluation Model for Industry 4.0 Transition Process

  • Murat ColakEmail author
  • Ihsan Kaya
  • Melike Erdogan
Conference paper
Part of the Lecture Notes in Management and Industrial Engineering book series (LNMIE)

Abstract

The concept of industry 4.0 is a critical topic that has been addressed by many studies recently as well as the business community. However, there are not many studies on the risk assessment of industry 4.0 transition process. In this paper, it is aimed to identify the risks that companies may face in the industry 4.0 transition process and to suggest a methodology for prioritization of these risks. We applied to expert opinions to address all numerical and verbal factors and used a fuzzy multicriteria decision-making (MCDM) methodology in order to determine the most and the least critical risks. For this aim, hesitant fuzzy sets (HFSs) and interval type-2 fuzzy sets (IT2FSs) have been utilized together to obtain the best results that are closer to the reality. Finally, risks have been prioritized for companies in the transition process to Industry 4.0.

Keywords

Hesitant fuzzy sets Industry 4.0 Multi-criteria decision-making Risk management Type-2 fuzzy 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Kocaeli UniversityKocaeliTurkey
  2. 2.Yildiz Technical UniversityIstanbulTurkey
  3. 3.Duzce UniversityDuzceTurkey

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