Dede Irman Pirdaus

Supply Chain Risk Mitigation Through the Integration of Supervised Learning Algorithms and Linear Programming

Late delivery risk remains a critical operational challenge in modern supply chains, contributing to higher costs, degraded service levels, and diminished customer trust. This study proposes a hybrid predictive-prescriptive framework that integrates supervised machine learning with Linear Programming (LP) to support su...