Claim Missing Document
Check
Articles

Found 1 Documents
Search

Pengendalian Kualitas Produk Jadi Menggunakan Metode Six Sigma pada Line Machining Body Cover Di PT XYZ Ukasyah, Ukasyah; Andriani, Andriani; Putri, Isria Miharti Maherni
JURNAL TEKNIK INDUSTRI Vol. 5 No. 01 (2024): JURNAL TEKNIK INDUSTRI : MEI 2024
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jutin.v5i01.5061

Abstract

In this study, the problem of how to control the quality of PT XYZ in the line machining body cover is formulated. The purpose of this study is to analyze the quality control of the body cover line machining using six sigma. Six sigma is a method of product quality control and improvement techniques designed to achieve a very low level of defect in the manufacturing process. Then the DMAIC (Define, Measure, Analyze, Improve, and Control) stages are carried out. Define PT XYZ currently sets a maximum target of 0.7% defects, but the average number of defects in the machining body line is 2.1%. This really needs attention to be repaired to reduce defective products on the body cover machining line. After calculating the sigma level between March and May, the sigma value of the machining body cover production line was 4.0 with an average DPMO of 6970. From the results of the analysis using Pareto charts, there is 1 main cause, namely dirty and oily final products. The root of this problem can be seen using a cause-and-effect diagram, where there are several dominant factors, such as man machine and methode. In addition, the researcher analyzed using a process flow map, because the researcher felt that there was still a lot of waiting time for workers. Based on the analysis and calculation above, the researcher decided to make improvements, namely by adding a washing process so that the remaining coolant that is still attached to the product does not fall directly into the washing machine which causes a rapid decline in the quality of the washing air. The average sigma after the improvement in June was 4.5, which was an increase of 0.5 from before the improvement.