Towards Self-Healing Machine Learning Systems: Continual Learning and Drift-Aware MLOps Pipelines for Supply Chain Operations
Emmanuel Ahaiwe, Samuel Olawole Akande & Susana Owusu-Ansah · Journal of Economics, Management and Trade · 2026
Supply-chain machine learning operates in inherently non-stationary settings, promotions, assortment churn, shocks, and sensor drift routinely shift data and labels, so static models degrade in accuracy, service levels, and latency. This review consolidates evidence on drift-awar...
Open access
Research Article
10.9734/jemt/2026/v32i21390