Statistical quality control technique in the mask manufacturing industry

Statistical quality Control (SQC) is an effective powerful methodology for analyzing, monitoring, managing, and improving process performance. The purpose of this study is to introduce Statistical Process Control technique mask manufacturing plant for reducing unwanted masks defects and wastages. Defects were categorized on their frequencies by examining defective masks produced in the manufacturing plant. The most important defect was a variety of cracks in different masks. By implementing control chart, a significant result was observed. After identifying and resolving the given defect and reevaluating the process by the mentioned diagrams, the quality of observed masks were improved significantly. Hence, this study presents a complete process to help manufacturer identify defects for process improvement with immediate benefits for the current development cycle in the plant.