OPTIMIZATION OF SUPPLY CHAIN LOGISTICS IN THE MANUFACTURING SECTOR

dc.contributor.advisorMenyhárt, József
dc.contributor.authorJoseph, Jesse Nomshu
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-01-30T14:46:46Z
dc.date.available2025-01-30T14:46:46Z
dc.date.created2024-09-23
dc.description.abstractThe 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.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent49
dc.identifier.urihttps://hdl.handle.net/2437/386233
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectSupply Chain Optimization
dc.subjectManufacturing Industry
dc.subjectAutomation
dc.subject.dspaceEngineering Sciences
dc.titleOPTIMIZATION OF SUPPLY CHAIN LOGISTICS IN THE MANUFACTURING SECTOR
dc.title.translatedAZ ELLÁTÁSI LÁNC LOGISZTIKA OPTIMALIZÁLÁSA A GYÁRTÁSI SZEKTORBAN
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