Abstract

Stainless steel welded pipe is manufacture by various methods like as shearing, bending, partial welding, full welding, nitriding, final length, expanding and buffing. This research is about to implement statistical quality control tools in pipe manufacturing industries. There are various defect found in stainless steel welded pipe manufacturing, due to these defects, pipes 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, R-chart, C-chart, P-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 pipe manufacturing industries, rejection reduction is possible by proper shearing process, appropriate welding line, maintaining expanding process. 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. In apurvi industries, out of control process has been detected by Xbar and R chart and root cause analysis used for defect detection. C chart has also been used for depicted the number of defects in the particular lot. Using the C chart it can be easily decided whether the particular lots are accepted or not. Flow of this research is the beginning with the introduction, Literature review regarding the research area then Methodology followed by the result and discussion. Finally future scope of the research is presented.

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