Peruvian coffee companies struggle with supply chain inefficiencies, resource waste, and quality control due to poor supplier management and ineffective error prevention. To address this, the proposed solution involves implementing the Kraljic Matrix for strategic supplier classification and the Poka-Yoke system to prevent production errors. A base model simulation using Arena software, with 7,159 replications and the 95% confidence intervals for the indicators demonstrated reliability and validated significant productivity improvements, including increased daily coffee production, reduced operational costs, and higher revenues. An economic analysis confirmed the project's financial viability with positive NPV and TIR. This initiative also benefits stakeholders through fair trade practices for farmers, improved conditions for plant workers, and promotes environmental sustainability by reducing waste and encouraging responsible resource management. The results obtained are favorable and show a great improvement compared to the initial situation of efficiency in logistics management, since the efficiency improved from 49.71% to 76.97%.