Open access
Jul 2026
An Explainable Optimization Framework for Demand-Driven Inventory Decisions Using SHAP and Mixed Integer Programming
This study develops and evaluates an Explainable Optimization Framework that combines Extreme Gradient Boosting (XGBoost) for demand forecasting, SHapley Additive exPlanations (SHAP) for model interpretability, and Mixed Integer Programming (MIP) for inventory optimization.
Alfry Aristo Jansen Sinlae, Fajriana Fajriana, Yenny Suzana et al.
· International Journal of Eng... · 0 citations