Advanced Supply Chain Optimization Simulation Engine

Design a sophisticated supply chain optimization simulation framework in Python that can model complex logistics scenarios using probabilistic forecasting and constraint-based optimization. Implement Monte Carlo simulation techniques with numpy and scipy to generate multi-scenario supply chain performance predictions. Create a flexible configuration system supporting different industry constraints, inventory models, and demand forecasting methodologies. Generate comprehensive reports with uncertainty analysis and recommended strategic interventions.