Albas Brindle, Ashley Scott2024-11-212024-11-212024-11-15https://hdl.handle.net/10115/41857Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: Vera GelashviliThis project on "Supply Chain Process Optimization: Strategies to improve efficiency and reduce costs" has identified the fact that companies should make their supply chains data driven. In effect, a blend of classic management technique with modern technology provides an ideal output. It will show us how saving costs is driven by flexibility and resiliency to adapt to any disruption. This project recommends that the company invest in technology infrastructure and continuous process improvement, which will generate long-run benefit in optimizing supplies.engCost reductionefficiency improvementinventory managementdata-driven decision makingpredictive analyticssupply chain visibility.info:eu-repo/semantics/studentThesisinfo:eu-repo/semantics/embargoedAccess