International Journal of Industrial Engineering and Management

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Forthcoming
Original Research Article

Self-Assessment Model for Digital Retrofitting of Legacy Manufacturing Systems in the Context of Industry 4.0

Abdulrahman Alqoud
Sustainable Manufacturing Systems Centre, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, MK43 0AL, United Kingdom
Jelena Milisavljevic-Syed
Sustainable Manufacturing Systems Centre, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, MK43 0AL, United Kingdom
Konstantinos Salonitis
Sustainable Manufacturing Systems Centre, Faculty of Engineering and Applied Science, Cranfield University, Cranfield, MK43 0AL, United Kingdom

Published 2025-08-28

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Keywords

  • maturity model,
  • assessment model,
  • digital retrofitting,
  • manufacturing,
  • Industry 4.0

How to Cite

Alqoud , A., Milisavljevic-Syed, J., & Salonitis, K. (2025). Self-Assessment Model for Digital Retrofitting of Legacy Manufacturing Systems in the Context of Industry 4.0. International Journal of Industrial Engineering and Management, article in press. https://doi.org/10.24867/IJIEM-391

Abstract

In the current competitive landscape, digital retrofitting of legacy manufacturing systems is crucial for maintaining a competitive edge. Digital retrofitting involves adapting existing systems to modern technologies to enhance efficiency and capabilities. To select the most appropriate retrofitting approach, an assessment model is required due to the diversity of legacy systems and the varying readiness levels of organizations. In this study, a comprehensive assessment model is designed for Small and Medium Manufacturing Enterprises (SMMEs) to facilitate digital retrofitting strategies. The model starts with a questionnaire to evaluate existing systems, followed by a classification of maturity levels, and then provides tailored recommendations, aiming to guide SMMEs in successfully integrating Industry 4.0 technologies. The methodology includes a literature review and surveys, which were used to develop, test, and refine the model. The model assesses 21 items across four dimensions, Strategy and Organization, Development of the Workforce, Smart Factory, and Smart Process, using a five-point scale. Furthermore, the model introduces a four-level maturity classification for digital transformation in manufacturing and offers customized recommendations. 

Article history: Received (November 25, 2024); Revised (July 20, 2025); Accepted (July 27, 2025); Published online (August 28, 2025)

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