Shopfloor Management, Analysis, and Process Control

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dc.contributor.advisorCzégé, Levente
dc.contributor.authorShawish, Ghazi Hashem Mohammad
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-01-30T14:38:44Z
dc.date.available2025-01-30T14:38:44Z
dc.date.created2024-11-24
dc.description.abstractThis thesis examines the quick service process of a vehicle service center and proposes improvements using Lean principles to enhance efficiency and customer satisfaction. Through tools such as Value Stream Mapping (VSM) and Root Cause Analysis (RCA), key inefficiencies like delays in parts procurement, excessive movement, and lengthy administrative tasks were identified. To address these issues, a Centralized Data Management System, Kanban system, and 5S workplace organization were implemented. These solutions reduced lead times by 26%, saving 25 minutes per vehicle, and increased process efficiency to 66.2%. A financial analysis demonstrated that the proposed changes are cost-effective, with a payback period of 1.85 years and significant annual savings. This research highlights the adaptability of Lean tools in service environments and provides a framework for improving operational performance in similar contexts.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent42
dc.identifier.urihttps://hdl.handle.net/2437/386228
dc.language.isoen
dc.rights.accessHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectLean Management
dc.subjectAutomotive
dc.subjectContinuous Improvement
dc.subject.dspaceEngineering Sciences::Engineering
dc.titleShopfloor Management, Analysis, and Process Control
dc.title.translatedBolti menedzsment, elemzés és folyamatirányítás
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Theses (Department of Mechanical Engineering)