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Modelling and quantification of industry 4.0 manufacturing complexity based on information theory: a robotics case study

Author

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  • Dimitris Mourtzis
  • Sophia Fotia
  • Nikoletta Boli
  • Ekaterini Vlachou

Abstract

The new industrial revolution called Industry 4.0 imposes new challenges to the research community. One of the main issues in Industry 4.0 is the management of the huge amount of information exchanged among its different integrated systems. The present work demonstrates how the traditional manufacturing system is transformed to the Industry 4.0 manufacturing system and proposes a modelling and quantification approach, which includes metrics from the Information Theory estimating the complexity and the capacity of the Industry 4.0, from the perspective of the communication among the systems. The application impact of the proposed Industry 4.0 system and the comparison of these metrics before and after shifting to Industry 4.0 is also analysed and validated in a case study from the Robotics Industry.

Suggested Citation

  • Dimitris Mourtzis & Sophia Fotia & Nikoletta Boli & Ekaterini Vlachou, 2019. "Modelling and quantification of industry 4.0 manufacturing complexity based on information theory: a robotics case study," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 6908-6921, November.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:22:p:6908-6921
    DOI: 10.1080/00207543.2019.1571686
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    Cited by:

    1. Slavko Rakic & Marko Pavlovic & Ugljesa Marjanovic, 2021. "A Precondition of Sustainability: Industry 4.0 Readiness," Sustainability, MDPI, vol. 13(12), pages 1-12, June.
    2. Karim, Mohammed Shamsul & Nahar, Sharmin & Demirbag, Mehmet, 2022. "Resource-Based Perspective on ICT Use and Firm Performance: A Meta-analysis Investigating the Moderating Role of Cross-Country ICT Development Status," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    3. Caiado, Rodrigo Goyannes Gusmão & Scavarda, Luiz Felipe & Gavião, Luiz Octávio & Ivson, Paulo & Nascimento, Daniel Luiz de Mattos & Garza-Reyes, Jose Arturo, 2021. "A fuzzy rule-based industry 4.0 maturity model for operations and supply chain management," International Journal of Production Economics, Elsevier, vol. 231(C).
    4. Maurizio Faccio & Irene Granata & Alberto Menini & Mattia Milanese & Chiara Rossato & Matteo Bottin & Riccardo Minto & Patrik Pluchino & Luciano Gamberini & Giovanni Boschetti & Giulio Rosati, 2023. "Human factors in cobot era: a review of modern production systems features," Journal of Intelligent Manufacturing, Springer, vol. 34(1), pages 85-106, January.

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