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Assessment of Industry 4.0 Maturity Models by Design Principles

Author

Listed:
  • Dinara Dikhanbayeva

    (School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan)

  • Sabit Shaikholla

    (School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan)

  • Zhanybek Suleiman

    (School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan)

  • Ali Turkyilmaz

    (School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan 010000, Kazakhstan)

Abstract

The fourth industrial revolution and accompanying digital transformation has progressed dramatically in recent years. The new digital revolution, mostly known as Industry 4.0, introduces impressive changes in the way enterprises and organizations are operating in a globalized world and altering the well-established lifestyle of a society. Therefore, it is of utmost importance to identify the current capabilities of companies in the context of Industry 4.0. Current literature on Industry 4.0 maturity and assessment models underlies the importance of a proper development strategy with exact steps to perform. Design principles address the issue of systematizing the measurable and attainable steps for further development. The present study contributes towards the identification of the research gap in the presence of core Industry 4.0 design principles during the development of maturity models. The analysis of 12 chosen maturity models by eight core design principles was provided. This research can serve as a starting point for the development of a complex strategic roadmap and thereby to provide a successful transition from traditional manufacturing into Industry 4.0.

Suggested Citation

  • Dinara Dikhanbayeva & Sabit Shaikholla & Zhanybek Suleiman & Ali Turkyilmaz, 2020. "Assessment of Industry 4.0 Maturity Models by Design Principles," Sustainability, MDPI, vol. 12(23), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:23:p:9927-:d:452197
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    References listed on IDEAS

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    1. Krzysztof Ejsmont & Bartlomiej Gladysz & Aldona Kluczek, 2020. "Impact of Industry 4.0 on Sustainability—Bibliometric Literature Review," Sustainability, MDPI, vol. 12(14), pages 1-29, July.
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    3. Sascha Kraus & Matthias Breier & Sonia Dasí-Rodríguez, 2020. "The art of crafting a systematic literature review in entrepreneurship research," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 1023-1042, September.
    4. Qiang Liu & Hao Zhang & Jiewu Leng & Xin Chen, 2019. "Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3903-3919, June.
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    Cited by:

    1. Kayikci, Yasanur & Kazancoglu, Yigit & Gozacan-Chase, Nazlican & Lafci, Cisem & Batista, Luciano, 2022. "Assessing smart circular supply chain readiness and maturity level of small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 149(C), pages 375-392.
    2. Dinara Dikhanbayeva & Akmaral Tokbergenova & Yevgeniy Lukhmanov & Essam Shehab & Zbigniew Pastuszak & Ali Turkyilmaz, 2021. "Critical Factors of Industry 4.0 Implementation in an Emerging Country: Empirical Study," Future Internet, MDPI, vol. 13(6), pages 1-25, May.
    3. Santiago-Omar Caballero-Morales & Luis Cuautle-Gutiérrez & José-de-Jesús Cordero-Guridi & Ricardo-Iván Alvarez-Tamayo, 2023. "Six-Sigma Reference Model for Industry 4.0 Implementations in Textile SMEs," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    4. Nicola Bellantuono & Angela Nuzzi & Pierpaolo Pontrandolfo & Barbara Scozzi, 2021. "Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature," Sustainability, MDPI, vol. 13(23), pages 1-40, November.

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