Solved Models in Supply Chain Management (github.com)

A new open-source library featuring over 129 solved optimization models has been launched, utilizing Pyomo and Google OR-Tools CP-SAT. This extensive library encompasses various areas such as routing, scheduling, supply chain management, and machine learning. Each model includes a complete problem description, mathematical formulation, corresponding Python code, and visualizations, making it an invaluable resource for students learning operations research, practitioners seeking practical templates, and puzzle enthusiasts who enjoy logical constraint challenges. Most notebooks can be opened directly in Google Colab, streamlining accessibility and ease of use. The significance of this library lies in its comprehensive coverage of optimization challenges, which are critical in many industries, notably supply chain and logistics. By providing ready-to-use models, it enhances the capabilities of professionals, allowing them to quickly adapt solutions to real-world problems. The varied applications—including job shop scheduling, resource allocation, and routing—demonstrate the library's versatility. Furthermore, the initiative encourages community contributions, fostering collaboration and continual enhancement of optimization tools, which is essential for advancing knowledge and technological development in the AI/ML community.