This project implements a linear optimization model designed to minimize total production costs while satisfying multiple operational constraints. The solver operates using a system of linear inequalities that represent resource consumption limits and demand requirements. By leveraging these constraints, the model determines the optimal allocation of resources to achieve the lowest possible cost.

In addition to finding the optimal solution, the project includes a sensitivity analysis that examines how changes in key constraints—such as machine time, assembly time, or material availability—affect the overall solution. This allows users to evaluate trade-offs, identify bottlenecks, and explore how adjusting specific parameters can improve or reduce efficiency within the system.