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Artificial Intelligence: Accelerating Innovation in Sustainable Lean Production Systems

Author

Listed:
  • Mustapha Jebor

    (Laboratory of Advanced Systems Engineering, National School of Applied Sciences ENSA, Ibn Tofail University Campus, Kenitra 14000, Morocco)

  • Hanaa Hachimi

    (Laboratory of Advanced Systems Engineering, National School of Applied Sciences ENSA, Ibn Tofail University Campus, Kenitra 14000, Morocco)

  • Ikhlef Jebbor

    (College of Engineering and Computing, Liwa University, Abu Dhabi 41009, United Arab Emirates)

  • Hayet Benhamida

    (College of Business, Liwa University, Abu Dhabi 41009, United Arab Emirates)

  • Zoubida Benmamoun

    (College of Engineering and Computing, Liwa University, Abu Dhabi 41009, United Arab Emirates)

Abstract

Lean production philosophy and sustainability approach have become a critical framework for efficiency improvement, waste reduction, and promoting sustainable manufacturing practices. In the age of artificial intelligence (AI), there is a synergy, which has now found new dimensions, data-driven decision-making, predictive analytics, and operational agility. AI technologies promise to transform industrial processes by converging lean production and sustainability principles, a synergy explored in this paper. AI APIs enable the use of AI to improve resource utilization, reduce environmental pressure, and maintain economic growth inherent to all business sectors while also fostering social accountability. In this study, a robust regression model is employed to study the role of AI in moderating the lean practices and sustainability outcomes relationship, using a sample of 528 manufacturing firms. The results show that the contribution of AI technologies to economic, ecological, and social sustainability is effectively multiplied by that of lean production. This research offers a framework to help practitioners and policymakers optimize production systems in line with Sustainable Development Goals. Finally, the study delivers actionable recommendations for navigating skill gaps and cybersecurity risks that were identified. In sum, this paper contributes to the rapidly emerging conversation by providing empirical evidence on AI’s moderating role in the lean–sustainability relationship and offering a strategic framework for practitioners.

Suggested Citation

  • Mustapha Jebor & Hanaa Hachimi & Ikhlef Jebbor & Hayet Benhamida & Zoubida Benmamoun, 2026. "Artificial Intelligence: Accelerating Innovation in Sustainable Lean Production Systems," Administrative Sciences, MDPI, vol. 16(4), pages 1-23, April.
  • Handle: RePEc:gam:jadmsc:v:16:y:2026:i:4:p:178-:d:1914854
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