Keeping track of garment production process and process improvement using quality control techniques

In serial mass production, very small changes and factors may cause huge effects and results. Companies can ignore the small changes and struggle with the problems and wonder why or develop their systems and get improvements and benefits out of detection of small factors. In this paper tracking the process and analyzing with certain quality improvement tools has been examined, analyzed and problems are detected. Pareto analysis, flowcharting, fishbone analysis and SPC methods are used to get results. The results say a lot about company’s problems such as out of nearly 20% of the company’s production faults cause nearly 80% of their problems and statistically it is proven that those mistakes carry the process out of control. By the side, instability and great variations are detected in the process which is not wanted in any kind of mass production.