Quality optimization in footwear production: a variability study using Six Sigma methodology

This study examines the application of the Six Sigma methodology in the production processes of footwear manufacturing with the objective of optimizing the processes, for this purpose the DMAIC cycle (Define, Measure, Analyze, Improve and Control) was used as a tool to identify key defects, such as unstuck parts and adhesive stains, to validate the measurement and data collection system, an R&R study was conducted, and through the analysis of historical data, capacity studies and statistical tools such as Pareto and Ishikawa diagrams, the production line was observed. The results showed that the parting and planting processes present levels of improvable defects, with yields of 83.1% and 88.5% respectively, which showed that labor, tool quality and raw material are crucial factors in the variability of production.