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Yenny Suzana

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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. · 0 citations

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