Analysis of Surgical Suture Production Process Control Using Statistical Process Control (SPC) Methods

Universitas Trisakti, Jakarta, Indonesia

^* Corresponding author: nurul063001900034@std.trisakti.ac.id
^† Corresponding author: wawan.kurniawan@trisakti.ac.id

Abstract

The medical industry currently has very high-quality standards for medical products such as surgical sutures. PT XYZ, as a well-known manufacturer in this industry, faces challenges in reducing the level of surgical suture product defects. This research focuses on the surgical suture production process produced by PT XYZ. One strategy to gain a competitive advantage is to continuously improve the quality of its products. This condition must be supported by the implementation of quality control in the process so that it can run well to produce products that have high competitiveness. The aim of this research is to analyze whether the surgical suture production process is statistically controlled or not and to analyze whether the production process meets the specified design or not. The data used in this research are secondary data and primary data. Primary data was obtained through direct observation and interviews, while secondary data was obtained from the internet, literature and journals. This research uses statictical process control (SPC) as an analysis tool by creating X and R control charts and analyzing process capabilities. The research results show that the control of the surgical suture production process is a reliable process. This is an indication that the process is under control or is not experiencing deviations. The process capability ratio shows that the process is said to be feasible and does not need to be improved. The process capability index shows that the process accuracy is good, which means that the process does not need to be improved.