Optimization of Supply in context of Industry4.0 by integrating Six Sigma, FMEA and Preventive Maintenance.

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dc.contributor.advisorDeák, Krisztián
dc.contributor.authorMashele, Nkosingiphile Boys
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-02-05T12:33:52Z
dc.date.available2025-02-05T12:33:52Z
dc.date.created2024-11-25
dc.description.abstractThis thesis focuses on optimizing supply chains within Industry 4.0 by integrating Six Sigma, FMEA, and predictive maintenance. It explores how these methodologies can enhance efficiency, reduce risks, and drive continuous improvement in modern supply chain operations. Advanced analytics and data-driven strategies are utilized to streamline processes and ensure timely decision-making. Real-time communication platforms play a critical role in monitoring and improving key performance indicators (KPIs). Six Sigma is applied to minimize process variation and maintain high-quality standards, while FMEA identifies and mitigates potential risks in the supply chain. Predictive maintenance is incorporated to enhance equipment reliability and prevent unexpected downtime. The combination of these approaches fosters a resilient and adaptive supply chain framework suited for the challenges of Industry 4.0. Results are analyzed through graphical data, showing measurable improvements in supply chain performance from 2020 to 2024. This research highlights the importance of integrating quality, risk, and maintenance strategies for achieving long-term supply chain optimization.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent37
dc.identifier.urihttps://hdl.handle.net/2437/386706
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectFMEA
dc.subjectSix Sigma
dc.subjectPreventive Maintenance
dc.subject.dspaceEngineering Sciences
dc.titleOptimization of Supply in context of Industry4.0 by integrating Six Sigma, FMEA and Preventive Maintenance.
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Theses (Department of Mechanical Engineering)