OPTIMIZATION OF SUPPLY CHAIN LOGISTICS IN THE MANUFACTURING SECTOR
dc.contributor.advisor | Menyhárt, József | |
dc.contributor.author | Joseph, Jesse Nomshu | |
dc.contributor.department | DE--Műszaki Kar | |
dc.date.accessioned | 2025-01-30T14:46:46Z | |
dc.date.available | 2025-01-30T14:46:46Z | |
dc.date.created | 2024-09-23 | |
dc.description.abstract | The thesis explores strategies to enhance supply chain efficiency and resilience through advanced technologies and innovative practices. It identifies key challenges such as transportation delays, inefficiencies, and data security risks that hinder operational performance in manufacturing. By leveraging tools like AI, IoT, and real-time analytics, the research highlights solutions for optimizing inventory management, improving demand forecasting, and fostering collaboration among stakeholders. Sustainable logistics practices and resilient frameworks are emphasized to reduce costs and environmental impact while meeting market demands. The study concludes that integrating technology, strategic partnerships, and data-driven decision-making is essential for manufacturing competitiveness in a dynamic global market. These insights provide actionable recommendations for industry professionals and policymakers. | |
dc.description.course | Mechanical Engineering | en |
dc.description.degree | BSc/BA | |
dc.format.extent | 49 | |
dc.identifier.uri | https://hdl.handle.net/2437/386233 | |
dc.language.iso | en | |
dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
dc.subject | Supply Chain Optimization | |
dc.subject | Manufacturing Industry | |
dc.subject | Automation | |
dc.subject.dspace | Engineering Sciences | |
dc.title | OPTIMIZATION OF SUPPLY CHAIN LOGISTICS IN THE MANUFACTURING SECTOR | |
dc.title.translated | AZ ELLÁTÁSI LÁNC LOGISZTIKA OPTIMALIZÁLÁSA A GYÁRTÁSI SZEKTORBAN |
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