The article introduces new robust estimators for regression models that can handle multicollinearity and outliers simultaneously. These estimators, called Özkale–Kaçiranlar and Yang–Chang estimators, outperform existing methods in dealing with these challenges. The researchers demonstrate the effectiveness of the proposed estimators through theoretical calculations, numerical simulations, and real-life data on manufacturing production.