This study proposes a structured taxonomy of supply chain resilience indicators to support future standardization efforts in resilience assessment. An umbrella review covering the period 2010–2025 was conducted using major scientific databases. The identified indicators were systematically analyzed, consolidated, and c...
Abdelmohaymin El Brini, Idriss Bennis, Khalifa Mansouri et al.· Engineering, Technology &...· 0 citations
Risk management is one of the fundamental components of a company's success, whatever its sector of activity. This paper reviews the work done in the field of risk management, both traditionally and by integrating Artificial Intelligence. It highlights the way in which risk management was solved in the traditional way,...
Kawtar Benderouach, Idriss Bennis, Abdelouahad Bellat et al.· international journal of eng...· 0 citations
This study proposes a Machine Learning (ML_-based framework for the automatic classification of accident narratives into Risk and Non-Risk categories to support the risk identification phase of occupational risk management. A manually labeled dataset containing 278 accident narratives derived from the publicly availabl...
