ANALYSIS PRODUCT PRINTED SARONG FABRIC USING STATISTICAL PROCESS CONTROL METHOD AT PT. XYZ

Abstract

Every company must maintain strong relationships with its customers and the quality of its products. Consumers expect products to meet their needs and desires while ensuring reliable performance. Therefore, companies must consistently maintain product quality that is both acceptable to consumers and competitive in the market. This study identifies the extent of quality control implementation and its effectiveness in reducing defects in printed sarong products at PT. XYZ. Using the Statistical Process Control (SPC) method, this research aims to optimize quality standards and minimize product defects. Control charts and fishbone diagrams were utilized to identify defective products deemed out of control and to uncover root causes of these defects. The findings indicate that PT. XYZ experiences significant fluctuations in defect levels, particularly in September and November 2023. Common defect types include design flaws, color inconsistencies, and contamination. The fishbone analysis highlighted key contributing factors such as operator errors, inadequate machinery maintenance, and unstable material quality. The study concludes that implementing SPC effectively can help companies identify and address quality issues systematically. Recommendations include regular training for employees, enhancing production processes, and maintaining better control over production environments to achieve sustainable product quality.