Advanced Product Quality Planning Development In Automotive Industry

A tétel rövid nézete
dc.contributor.advisorSipos, Csanád
dc.contributor.authorDwikat, Adel Mohammad Adel
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2024-06-19T10:16:40Z
dc.date.available2024-06-19T10:16:40Z
dc.date.created2024-05-16
dc.description.abstractThis thesis examines and juxtaposes Advanced Product Quality Planning (APQP) and Six Sigma, which are both quality management methods, in terms of their application and efficacy in the automotive sector. The study conducts a comprehensive assessment of quality management systems, with a particular emphasis on operational aspects, safety, regulatory difficulties, and adaptation of methods. The study demonstrates that the systematic and proactive approach of APQP guarantees the production of high-quality goods at each phase, ranging from the initial idea to the final packing. Conversely, Six Sigma focuses on enhancing process efficiency and minimizing faults. This claim is supported by many case studies and an extensive literature study. The results indicate that while choosing between APQP and Six Sigma methodologies, it is crucial to consider certain organizational variables and industry prerequisites. The paper highlights that customer-centric methods, continuous improvement, and adaptation are crucial for staying competitive and guaranteeing compliance in quality management.
dc.description.courseEngineering Management
dc.description.degreeMSc/MA
dc.format.extent62
dc.identifier.urihttps://hdl.handle.net/2437/373818
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectAPQP (Advanced Product Quality Planning)
dc.subjectAutomotive Industry
dc.subjectQuality Management Systems
dc.subjectSix Sigma
dc.subjectDMAIC (Define, Measure, Analyze, Improve, Control)
dc.subjectQuality Assurance
dc.subjectProduction Part Approval Process (PPAP)
dc.subjectFailure Mode and Effect Analysis (FMEA)
dc.subjectMeasurement System Analysis (MSA)
dc.subjectStatistical Process Control (SPC)
dc.subject.dspaceEngineering Sciences
dc.titleAdvanced Product Quality Planning Development In Automotive Industry
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