Case Study of Process Variation in a Steel Tube Manufacturing Industry

This research is about to implement statistical quality control tools in tube manufacturing industries. There are various defect found in stainless steel welded tube manufacturing, due to these defects, tubes are rejected lot wise, and that is very unproductive result for each and every industries. Statistical quality control (SQC) tools, such as X-bar chart, C-chart, P-chart, R-chart and U-chart had been utilized to measure the variability in the process. We observed good result about the process, whether it is in control or not. These types of charts will also provide the fast result that will be used to take action immediately. In tube manufacturing industries, rejection reduction is possible by proper maintaining the bead process, appropriate welding line. This research helps to decide the process within the control limit or not, that would be decided by various control charts. This is also used for quality improvement. In S.Q.C, there are number of tools used such as Frequency distribution, Control charts, acceptance sampling, and analysis of the data. From all of these tools, we have to concentrate only on control charts. Ultimately it has been used for any manufacturer to solve the rejection problem, enhancing the productivity and quality of the product.