SUPPLY CHAIN PROCESS OPTIMIZATION: STRATEGIES TO IMPROVE EFFICIENCY AND REDUCE COSTS

dc.contributor.author	Albas Brindle, Ashley Scott
dc.date.accessioned	2024-11-21T01:00:16Z
dc.date.available	2024-11-21T01:00:16Z
dc.date.issued	2024-11-15
dc.identifier.uri	https://hdl.handle.net/10115/41857
dc.description	Trabajo Fin de Grado leído en la Universidad Rey Juan Carlos en el curso académico 2024/2025. Directores/as: Vera Gelashvili
dc.description.abstract	This 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.
dc.language.iso	eng
dc.publisher	Universidad Rey Juan Carlos
dc.rights
dc.rights.uri
dc.subject	Cost reduction
dc.subject	efficiency improvement
dc.subject	inventory management
dc.subject	data-driven decision making
dc.subject	predictive analytics
dc.subject	supply chain visibility.
dc.title	SUPPLY CHAIN PROCESS OPTIMIZATION: STRATEGIES TO IMPROVE EFFICIENCY AND REDUCE COSTS
dc.type	info:eu-repo/semantics/studentThesis
dc.rights.accessRights	info:eu-repo/semantics/embargoedAccess