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2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 20232023, Pages 142-1472023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023; Novi Sad; Serbia; 29 May 2023 through 31 May 2023; Category numberCFP23ZIN-ART; Code 190636

Fuzzy maturity model for Smart Manufacturing Readiness: Industry 5.0 perspective(Conference Paper)

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  • aUniversity of Novi Sad, Institute for Artificial Intelligence, Research and Developments of Serbia, Department of Industrial Engineering and Management, Novi Sad, Serbia
  • bUniversity of Novi Sad, Department of Industrial Engineering and Management, Novi Sad, Serbia

Abstract

Over the past ten years, there has been a significant emphasis on Industry 4.0, with a focus on smart manufacturing that integrates cyber and physical components. However, in hindsight, it appears that the hype around Industry 4.0 has not met industry expectations due to implementation challenges arising from underdeveloped technologies. Today, Industry 5.0 proposes a human-centric approach to implementing digital sustainable technologies for the achievement of resilient production. Even though the Industry 5.0 concept is still in its infancy, manufacturing companies, especially from the automotive sector, must have a certain degree of readiness to start the implementation of smart manufacturing. Therefore, this research is proposing the fuzzy-rule-based maturity model for assessing the readiness for smart manufacturing implementation. It is achieved by the development of a fuzzy expert system based on criteria based on three main Industry 5.0 pillars, namely: sustainability, resilience, and human-centricity. Finally, the fuzzy maturity model is proved in the case company from the process industry. © 2023 IEEE.

Author keywords

fuzzy expert systemsIndustry 5.0maturity modelsmart manufacturing

Indexed keywords

Engineering controlled terms:Automotive industryFuzzy inferenceIndustrial research
Engineering uncontrolled termsAutomotive sectorFuzzy rule basedFuzzy-expert systemsHuman-centricIndustry 5.0Manufacturing companiesMaturity modelPhysical componentsSmart manufacturingSustainable technology
Engineering main heading:Industry 4.0
  • ISBN: 979-835034772-2
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/ZINC58345.2023.10174102
  • Document Type: Conference Paper
  • Publisher: Institute of Electrical and Electronics Engineers Inc.

  Bajic, B.; University of Novi Sad, Institute for Artificial Intelligence, Research and Developments of Serbia, Department of Industrial Engineering and Management, Novi Sad, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

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View details of all 4 citations
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