Optimizing the Raw Material Picking Process: A Case Study in the Thyssenkrupp Warehosue

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dc.contributor.advisorBuri, Zsolt
dc.contributor.advisorSipos, Csanád
dc.contributor.authorGhanem, Kahtan
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-06-18T12:29:26Z
dc.date.available2025-06-18T12:29:26Z
dc.date.created2025-05-26
dc.description.abstractThis thesis applies lean management and ABC analysis to optimize raw materials transportation within the Thyssenkrupp warehouse in Debrecen, Hungary, focusing on improving the efficiency of the picking process. Growing global competition has led to the need for warehouse process enhancements. By applying lean manufacturing tools such as Value Strem Mapping (VSM), the PDCA cycle, root cause analysis and ABC analysis to this study we identified major inefficiencies related to material placement, travel distances, and storage management. Through detailed field observations, warehouse data analysis, and close collaboration with staff, the research highlights that 55% of materials were incorrectly placed, causing excessive picking time and unnecessary movement. Proposed countermeasures included reorganizing materials based on picking frequency and optimizing storage locations, resulting in reduced travel time and improved workflow. Initial improvements showed measurable gains in picking speed.
dc.description.courseEngineering Management
dc.description.degreeMSc/MA
dc.format.extent53
dc.identifier.urihttps://hdl.handle.net/2437/393195
dc.language.isoen
dc.rights.accessrestricted
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectLean management
dc.subjectABC analysis
dc.subjectValue Strem Mapping (VSM)
dc.subjectIshikawa diagram
dc.subjectRaw material picking
dc.subject.dspaceEngineering Sciences::Engineering
dc.titleOptimizing the Raw Material Picking Process: A Case Study in the Thyssenkrupp Warehosue
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