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Developing an industry 4.0 readiness model using fuzzy cognitive maps approach

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  • Monshizadeh, Fatemeh
  • Sadeghi Moghadam, Mohammad Reza
  • Mansouri, Taha
  • Kumar, Maneesh

Abstract

Industry 4.0, or the fourth industrial revolution, is a new paradigm in manufacturing digitalization, which provides various opportunities for enterprises. Industry 4.0 readiness models are worthy methods to aid manufacturing organizations in tracking the development of their businesses and operations. Nevertheless, there are different Industry 4.0 readiness models; no work has yet analyzed Industry 4.0 readiness degree and causal effects relationships using fuzzy cognitive maps. This paper proposes an Industry 4.0 readiness model that consists of readiness requirements obtained from the literature and validated through a mixed-method approach, including literature reviews and questionnaires. To validate the proposed Industry 4.0 readiness model, the exploratory factor analysis and confirmatory factor analysis methods are used. Fuzzy Cognitive Map is utilized to assess readiness, identify relevant concepts to improve readiness degree, implement Industry 4.0, and analyze causal relationships among concepts and dimensions. Through this model and the FCM method, managers can recognize relevant concepts and predict complicated cause-effect relationships among concepts in two states of static and dynamic analyses to increase readiness degree. The paper concludes by emphasizing managerial implications for successful applications in practice as well as future research suggestions on developing the Industry 4.0 readiness model.

Suggested Citation

  • Monshizadeh, Fatemeh & Sadeghi Moghadam, Mohammad Reza & Mansouri, Taha & Kumar, Maneesh, 2023. "Developing an industry 4.0 readiness model using fuzzy cognitive maps approach," International Journal of Production Economics, Elsevier, vol. 255(C).
    • Handle: RePEc:eee:proeco:v:255:y:2023:i:c:s0925527322002407
    DOI: 10.1016/j.ijpe.2022.108658
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    1. Andriolo, Alessandro & Battini, Daria & Grubbström, Robert W. & Persona, Alessandro & Sgarbossa, Fabio, 2014. "A century of evolution from Harris׳s basic lot size model: Survey and research agenda," International Journal of Production Economics, Elsevier, vol. 155(C), pages 16-38.
    2. Dieste, Marcos & Sauer, Philipp C. & Orzes, Guido, 2022. "Organizational tensions in industry 4.0 implementation: A paradox theory approach," International Journal of Production Economics, Elsevier, vol. 251(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. Culot, Giovanna & Nassimbeni, Guido & Orzes, Guido & Sartor, Marco, 2020. "Behind the definition of Industry 4.0: Analysis and open questions," International Journal of Production Economics, Elsevier, vol. 226(C).
    5. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    6. Matana, Gleison & Simon, Alexandre & Filho, Moacir Godinho & Helleno, André, 2020. "Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0," International Journal of Production Economics, Elsevier, vol. 228(C).
    7. Rafael, Lizarralde Dorronsoro & Jaione, Ganzarain Epelde & Cristina, López & Ibon, Serrano Lasa, 2020. "An Industry 4.0 maturity model for machine tool companies," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    8. Hussain, Matloub & Papastathopoulos, Avraam, 2022. "Organizational readiness for digital financial innovation and financial resilience," International Journal of Production Economics, Elsevier, vol. 243(C).
    9. Ahmadi, Sadra & Yeh, Chung-Hsing & Martin, Rodney & Papageorgiou, Elpiniki, 2015. "Optimizing ERP readiness improvements under budgetary constraints," International Journal of Production Economics, Elsevier, vol. 161(C), pages 105-115.
    10. Bai, Chunguang & Dallasega, Patrick & Orzes, Guido & Sarkis, Joseph, 2020. "Industry 4.0 technologies assessment: A sustainability perspective," International Journal of Production Economics, Elsevier, vol. 229(C).
    11. Ahad Zare Ravasan & Taha Mansouri, 2014. "A FCM-Based Dynamic Modeling of ERP Implementation Critical Failure Factors," International Journal of Enterprise Information Systems (IJEIS), IGI Global, vol. 10(1), pages 32-52, January.
    12. Radosław Miśkiewicz & Radosław Wolniak, 2020. "Practical Application of the Industry 4.0 Concept in a Steel Company," Sustainability, MDPI, vol. 12(14), pages 1-21, July.
    13. Santos, Maribel Yasmina & Oliveira e Sá, Jorge & Andrade, Carina & Vale Lima, Francisca & Costa, Eduarda & Costa, Carlos & Martinho, Bruno & Galvão, João, 2017. "A Big Data system supporting Bosch Braga Industry 4.0 strategy," International Journal of Information Management, Elsevier, vol. 37(6), pages 750-760.
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