Zlepšení logistických procesů v automobilovém průmyslu s využitím digitalizace

The aim of this thesis is to propose improvements to the picking process in the automotive industry through the implementation of Lean Six Sigma combined with digitalization. The author uses the DMAIC methodology, applying tools such as SIPOC, flowchart, FMEA, and 5W1H in each phase. During the research conducted at the company, risks are analyzed and measures are proposed; the proposed solutions also include digital technologies such as the implementation of cameras, scales, and autonomous mobile robots (AMRs). Using a paired t- test, the author compares the original and improved values of RPN, severity (S), occurrence (O), and detection (D). The results show that improvements based on Lean Six Sigma methods utilizing digital elements yield better results than those without digital elements. In terms of error detection and identification digital solutions demonstrated higher effectiveness than improvements without digital elements. The thesis provides a practical example of the synergy between Lean methodology and digitalization.