This repository serves as a comprehensive collection of code snippets and analytical tools for various aspects of supply chain management. It aims to provide practical examples and implementations for common supply chain challenges including:
- Inventory Simulation: Models and algorithms to simulate inventory behavior under different demand and lead time scenarios, helping optimize stock levels and reduce holding costs.
- Demand Forecasting: Techniques and scripts for predicting future demand using statistical methods, machine learning, and time-series analysis to improve planning accuracy.
- And much more, covering areas such as network optimization, logistics, risk management, and performance measurement.
Whether you're a supply chain professional, data scientist, or student, this repository offers valuable resources to enhance your analytical capabilities and drive efficiency in supply chain operations.