Increasing efficiency and productivity in case of special machine production

dc.contributor.advisorMatkó, Andrea Emese
dc.contributor.authorMaqbool, Zeeshan
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2024-06-20T07:38:46Z
dc.date.available2024-06-20T07:38:46Z
dc.date.created2024
dc.description.abstractSpecial machine production, characterized by low-volume, high-complexity projects, presents unique challenges to achieving optimal efficiency and productivity. This thesis explores strategies to address these challenges and improve overall performance within this specialized manufacturing environment, drawing on a case study of Bürkle, a leading manufacturer of custom industrial machinery. By closely examining Bürkle's production processes, the thesis proposes a framework of practical solutions to enhance efficiency and productivity. This framework may encompass strategies specifically tailored to the company's operations such as advanced planning and scheduling and creating KPIs to monitor the efficiency and productivity. The thesis examines the concept of Overall Equipment Effectiveness (OEE) as a key metric for evaluating production efficiency. It analyzes the specific factors impacting OEE at Bürkle, such as lead times, changeover processes, and limitations of standardization within their custom projects. Additionally, the thesis explores the potential benefits of implementing Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) systems to further enhance Bürkle's overall efficiency. CRM systems can streamline customer interactions, improve lead management, and foster stronger relationships, potentially leading to increased sales and project opportunities. ERP systems can integrate various internal functions like finance, inventory management, and human resources, potentially leading to improved resource allocation, streamlined operations, and better decision-making. By implementing these strategies informed by the case study of Bürkle, special machine manufacturers can achieve significant improvements in efficiency, reduce lead times, and enhance overall productivity. The thesis concludes by outlining avenues for further research and highlighting the practical implications of these findings for the special machine production industry.
dc.description.courseMechanical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent30
dc.identifier.urihttps://hdl.handle.net/2437/374028
dc.language.isoen
dc.rights.accessrestricted
dc.subjectLean management
dc.subjectKPI
dc.subjectERP
dc.subjectCRM
dc.subject.dspaceEngineering Sciences
dc.titleIncreasing efficiency and productivity in case of special machine production
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