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Journal : OPSI

Quality Improvement of Tin Ingot Product Using Six Sigma Method at PT Timah Tbk Idriwal Mayusda
OPSI Vol 16, No 1 (2023): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v16i1.7434

Abstract

Bangka brand (BA) tin metal bar (ingot) has the highest defect percentage value of 2.01% from June to September 2021. This percentage exceeds the minimum non-conformity product standard of 0.25 %. This study aims to identify the types and factors that cause defects and propose improvements for the quality of products. The research uses the six-sigma method with DMAIC stages. Types of ingot defects include winging, rough surface, curved edges, bumps on the surface, presence of flakes, asymmetrical brand logos, spatters of tin metal, cracks/breaks, and exceeding weight specification. The results of the sigma level are 2.36 (variable data) and 3.15 (attribute data). The highest RPN value (240) occurs in the type of failure of the tin ingot test with the cause of failure, namely, the machine is experiencing troubleshooting. The second highest RPN value (210) occurs in the casting process with the cause of failure, namely the operator's lack of job mastery. Proposed improvements that can be implemented are the application of tin casting process work instructions. The implementation results show an increase in the sigma level to 2.44 (variable data) and 3.19 (attribute data).
Enhancing quality in plastic manufacturing: Six sigma application to polybox containers Priyanti, Nadia Nabila; Saragih, Johnson; Mayusda, Idriwal
OPSI Vol 18 No 2 (2025): OPSI - December 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v18i2.12576

Abstract

Historical production data from November 2021 to February 2022 revealed that polybox plastic containers suffered from a 2.84% defect rate, exceeding the company’s 2% threshold. This study applies the Six Sigma DMAIC (Define, Measure, Analyze, Improve, Control) methodology to enhance product quality. The Define phase utilized SIPOC and Critical to Quality (CTQ) diagrams to outline quality characteristics. In the Measure phase, P and U Control Charts established a baseline performance with a Defect Per Million Opportunities (DPMO) of 8,420 and a sigma level of 3.89. The Analyze phase employed Fishbone diagrams and Failure Mode and Effects Analysis (FMEA) to isolate root causes. High Risk Priority Numbers (RPN) highlighted worker carelessness (294), welding inaccuracies (252), and manual handling issues (210). Consequently, the Improve phase implemented new Standard Operating Procedures (SOPs), welding guidelines, and hand-truck trolleys. Post-implementation monitoring during the Control phase showed immediate improvements: the DPMO dropped to 6,305, and the sigma level increased to 3.99. These findings confirm the efficacy of Six Sigma interventions in reducing manufacturing defects and aligning production with quality standards.