Application of Statistical Quality Control Techniques in Total Quality Management on Welding Defects in an Industrial Project

Abstract

This article explores the application of Total Quality Management and Statistical Quality Control Techniques in the welded manufacturing process in industrial projects. The workflow of the welding activity is explained in detail with a flow diagram that includes pre-welding, during-welding and post-welding stages. Companies need to use appropriate tools to achieve continuous quality improvement. This study presents an evaluation of the systematic use possibilities of seven basic quality control tools. This study aims to show that seven basic quality control tools can be used in the manufacturing processes of projects.

Control cards showed that the non-destructive testing obligation was successfully fulfilled and the distribution of these tests over time. In the project, resource rejection rates were also examined and their compliance with the project quality plan was evaluated. Using Pareto diagrams, non-destructive test results were focused on and priority error types and error distribution by months were analyzed. General causes of welding errors were determined with cause-and-effect diagrams and solution suggestions were presented. Analysis has shown that management decisions, operational processes and employee performance affect welding errors in the project. This term project aims to develop strategies to prevent similar problems in industrial projects by providing detailed analysis of process management and quality control mechanisms within the scope of welding activities.