HARNESSING BIG DATA FOR ENHANCED OPERATION AND MAINTENANCE IN MECHANICAL ENGINEERING

A tétel rövid nézete
dc.contributor.advisorDeák, Krisztián
dc.contributor.authorZaid Al-Kilani, Tariq Mahmoud Shareef
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-06-24T10:31:25Z
dc.date.available2025-06-24T10:31:25Z
dc.date.created2025-05-12
dc.description.abstractCubing (Meisterbock) events are vital for quality assurance in the automotive industry, using a CNC machined aluminum body to test parts fitment before production, thus preventing costly delays. However, planning these events has traditionally been labor-intensive and error-prone due to manual CAD data extraction. This thesis introduces an automated macro tool that standardizes and digitizes the planning process, aligning with Industry 4.0 practices. The macro converts CAD data into structured Excel tables, creating an error-free dataset for efficient scheduling. A key innovation is the Change Index system, which flags design changes early, allowing teams to address potential issues before they arise during cubing events. This proactive approach enhances communication among engineers and supply chain teams, transforming the cubing schedule into an early warning system for quality control. Overall, the thesis demonstrates how this macro not only streamlines planning but also embodies the principles of Industry 4.0, paving the way for a more integrated and intelligent automotive manufacturing process.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent49
dc.identifier.urihttps://hdl.handle.net/2437/394466
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectPredective
dc.subjectBig Data
dc.subjectMaintenance
dc.subject.dspaceEngineering Sciences
dc.titleHARNESSING BIG DATA FOR ENHANCED OPERATION AND MAINTENANCE IN MECHANICAL ENGINEERING
Fájlok
Eredeti köteg (ORIGINAL bundle)
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
TariqKilani_Thesis.pdf
Méret:
1.64 MB
Formátum:
Adobe Portable Document Format
Leírás:
Tariq Mahmoud Shareef Zaid Al-Kilani's thesis
Megjelenítés
Engedélyek köteg
Megjelenítve 1 - 1 (Összesen 1)
Nincs kép
Név:
license.txt
Méret:
1.69 KB
Formátum:
Item-specific license agreed upon to submission
Leírás:
Letöltés
Gyűjtemények
Theses (Department of Mechanical Engineering)