Defect Analysis of R8 Cover Products Using the Six Sigma Method at PT Amtek Engineering

Authors

  • Rumiris Lestari Rita Silalahi Universitas Riau Kepulauan
  • Hery Irwan Universitas Riau Kepulauan

DOI:

https://doi.org/10.59024/jisi.v4i3.2057

Keywords:

Defect Analysis, DMAIC, Pareto Analysis, Quality Control, Six Sigma

Abstract

Quality consistency is a critical requirement in automotive component manufacturing, particularly in precision stamping processes where visual conformity, product identification, and physical integrity directly influence customer acceptance. This study investigates quality defects in R8 Cover production at PT Amtek Engineering using the Six Sigma DMAIC (Define–Measure–Analyze–Improve–Control) framework. A descriptive quantitative and observational approach was employed using production and reject records collected from 5–17 May 2024. The Define phase utilized SIPOC and Critical-to-Quality (CTQ) mapping to identify key quality characteristics. Process capability was evaluated through Defect per Unit (DPU), Defect per Opportunity (DPO), Defect per Million Opportunities (DPMO), process yield, and sigma level measurements. Pareto analysis and fishbone diagrams were applied to determine dominant defect categories and their potential root causes. The results indicate that 82,843 units were produced with 4,533 rejected units, resulting in a DPU of 0.0547, a DPO of 0.0109, a DPMO of approximately 10,900, a process yield of 98.91%, and a sigma level of 3.8. Missing and damaged identification was identified as the most significant defect, contributing 33% of total defects, followed by missing lettering at 23%. Root-cause analysis revealed that defect occurrence was associated with operator practices, machine and tooling conditions, inspection procedures, material conformity, and workplace environment. The study proposes improvement actions focused on setup verification, preventive maintenance, tooling management, inspection standardization, operator competency development, and incoming material control. These findings provide an empirical basis for enhancing process capability and strengthening quality assurance in precision stamping operations.

 

References

Alqahtani, F. M., Noman, M. A., Alabdulkarim, S. A., Alharkan, I., Alhaag, M. H., & Alessa, F. M. (2023). A new model for determining factors affecting human errors in manual assembly processes using fuzzy Delphi and DEMATEL methods. Symmetry, 15(11), 1967. https://doi.org/10.3390/sym15111967

Conde, G. C. P., Oprime, P. C., Pimenta, M. L., Sordan, J. E., & Bueno, C. R. (2023). Defect reduction using DMAIC and Lean Six Sigma: A case study in a manufacturing car parts supplier. International Journal of Quality & Reliability Management, 40(9), 2184–2204. https://doi.org/10.1108/IJQRM-05-2022-0157

Daniyan, I., Adeodu, A., Mpofu, K., Maladzhi, R., & Kana-Kana Katumba, M. G. (2022). Application of Lean Six Sigma methodology using DMAIC approach for the improvement of bogie assembly process in the railcar industry. Heliyon, 8(3), e09043. https://doi.org/10.1016/j.heliyon.2022.e09043

Enache, I.-C., Chivu, O. R., & Raduica, F.-F. (2024). Eliminating scraps in refrigerator door sealing: A Six Sigma case study. Processes, 12(11), 2460. https://doi.org/10.3390/pr12112460

Enache, I.-C., Chivu, O. R., Rugescu, A.-M., Ionita, E., & Radu, I. V. (2023). Reducing the scrap rate on a production process using Lean Six Sigma methodology. Processes, 11(4), 1295. https://doi.org/10.3390/pr11041295

Gomes, H., Navio, F., Gaspar, P. D., Soares, V. N. G. J., & Caldeira, J. M. L. P. (2023). Radio-frequency identification traceability system implementation in the packaging section of an industrial company. Applied Sciences, 13(23), 12943. https://doi.org/10.3390/app132312943

Guleria, P., Pathania, A., Bhatti, H., Rojhe, K., & Mahto, D. (2021). Leveraging Lean Six Sigma: Reducing defects and rejections in filter manufacturing industry. Materials Today: Proceedings, 46, 8532–8539. https://doi.org/10.1016/j.matpr.2021.03.535

Jou, Y.-T., Silitonga, R. M., Lin, M., Sukwadi, R., & Rivaldo, J. (2022). Application of Six Sigma methodology in an automotive manufacturing company: A case study. Sustainability, 14(21), 14497. https://doi.org/10.3390/su142114497

Kubik, C., Becker, M., Molitor, D.-A., & Groche, P. (2023). Towards a systematical approach for wear detection in sheet metal forming using machine learning. Production Engineering, 17, 21–36. https://doi.org/10.1007/s11740-022-01150-x

Kubik, C., Molitor, D. A., Varchmin, S., Leininger, D. S., Ohrenberg, J., & Groche, P. (2023). Image-based feature extraction for inline quality assurance and wear classification in high-speed blanking processes. The International Journal of Advanced Manufacturing Technology, 129, 4883–4897. https://doi.org/10.1007/s00170-023-12653-x

Merjani, A., Yanti, P. P., & Redantan, D. (2024). Six Sigma DMAIC analysis to reduce visual reject on plastic raw materials in line IQC sorting using seven quality tools. PROFISIENSI: Jurnal Program Studi Teknik Industri, 12(1). https://doi.org/10.33373/profis.v12i1.6127

Mittal, A., Gupta, P., Kumar, V., Owad, A. Al, Mahlawat, S., & Singh, S. (2023). The performance improvement analysis using Six Sigma DMAIC methodology: A case study on Indian manufacturing company. Heliyon, 9(3), e14625. https://doi.org/10.1016/j.heliyon.2023.e14625

Montororing, Y. D. R., Widyantoro, M., & Muhazir, A. (2022). Production process improvements to minimize product defects using DMAIC Six Sigma statistical tool and FMEA at PT KAEF. Journal of Physics: Conference Series, 2157, 012032. https://doi.org/10.1088/1742-6596/2157/1/012032

Muttaqin, N. U., & Aryanny, E. (2024). Defect analysis of packaging bottle products using Six Sigma and Kaizen methods at PT. XYZ. IJIEM: Indonesian Journal of Industrial Engineering and Management, 5(1), 265. https://doi.org/10.22441/ijiem.v5i1.22420

Nurprihatin, F., Ayu, Y. N., Rembulan, G. D., Andry, J. F., & Lestari, T. E. (2023). Minimizing product defects based on labor performance using linear regression and Six Sigma approach. Management and Production Engineering Review, 14(2), 88–98. https://doi.org/10.24425/mper.2023.146026

Okstevia, A. S., & Sumiati. (2024). Analysis of patient bed product quality control with Six Sigma method and Failure Mode and Effects Analysis (FMEA): Case study of PT. Karya Indah Medika. IJIEM: Indonesian Journal of Industrial Engineering and Management, 5(1), 121–136. https://doi.org/10.22441/ijiem.v5i1.21770

Pranavi, V., & Umasankar, V. (2021). Application of Six Sigma approach on hood outer panel to reduce the defect in painting peel off. Materials Today: Proceedings, 46, 1269–1276. https://doi.org/10.1016/j.matpr.2021.02.125

Ridwan, A., Sonda, A., & Zilardhi, A. (2024). Analysis of ceramic product quality: A Six Sigma approach. Journal Industrial Servicess, 10(1). https://doi.org/10.62870/jiss.v10i1.24505

Rinawati, D. I., & Sriyanto, S. (2024). Quality improvement in cylinder block production: A Six Sigma approach at PT. XYZ. J@ti Undip: Jurnal Teknik Industri, 19(3), 108–114. https://doi.org/10.14710/jati.19.3.108-114

Rochmatullah, F. Y., & Rusindiyanto. (2025). Application of Six Sigma and FMEA methods for defect reduction in woven bag production. ITEJ: Information Technology Engineering Journals, 10(1). https://doi.org/10.24235/itej.v10i1.215

Saputra, A. A. (2025). Peningkatan kualitas dengan pendekatan Six Sigma dan perspektif MBNQA sebagai kriteria prasyarat baku mutu pada PT. Tamanaco. J@ti Undip: Jurnal Teknik Industri, 20(2), 42–68. https://doi.org/10.14710/jati.20.2.42-68

Setiawan, Wiyatno, T. N., Herlambang, H., Nasihardani, D., & Putri, H. S. D. (2025). The reduction of paint defects through DMAIC approach to improve product quality in the automotive industry. Jurnal Teknologi dan Manajemen, 23(1), 18–27. https://doi.org/10.52330/jtm.v23i1.418

Shamsuzzaman, M., AlHerimi, N., Haridy, S., Shamsuzzoha, A. H. M., Abumadi, F., Jabban, R. Al, Rami, H., & Asem, J. (2023). Deployment of Lean Six Sigma DMAIC methodology to improve productivity of a can manufacturing industry. International Journal of Productivity and Quality Management, 39(2), 171–196. https://doi.org/10.1504/IJPQM.2023.131286

Singh, A. R., Bashford-Rogers, T., Marnerides, D., Debattista, K., & Hazra, S. (2023). HDR image-based deep learning approach for automatic detection of split defects on sheet metal stamping parts. The International Journal of Advanced Manufacturing Technology, 125, 2393–2408. https://doi.org/10.1007/s00170-022-10763-6

Sumasto, F., Satria, P., & Rusmiati, E. (2022). Implementasi pendekatan DMAIC untuk quality improvement pada industri manufaktur kereta api. Jurnal INTECH Teknik Industri Universitas Serang Raya, 8(2), 161–170. https://doi.org/10.30656/intech.v8i2.4734

Syamil, A., Ichsan, M., Syahrazly, M., Fadjar, M. P., & Revidia, I. R. (2023). Enhancing quality across industries: A systematic literature review on the impact of Six Sigma. Global Business and Finance Review, 28(7), 59–74. https://doi.org/10.17549/gbfr.2023.28.7.59

Tampubolon, S., & Purba, H. H. (2021). Lean Six Sigma implementation: A systematic literature review. International Journal of Production Management and Engineering, 9(2), 125–139. https://doi.org/10.4995/ijpme.2021.14561

Torres, Y., Nadeau, S., & Landau, K. (2021). Classification and quantification of human error in manufacturing: A case study in complex manual assembly. Applied Sciences, 11(2), 749. https://doi.org/10.3390/app11020749

Wang, C.-N., Nguyen, T.-D., Nguyen, T.-T. T., & Do, N.-H. (2025). The performance analysis using Six Sigma DMAIC and integrated MCDM approach: A case study for microlens process in Vietnam. Journal of Engineering Research, 13(2), 538–550. https://doi.org/10.1016/j.jer.2024.04.013

Widiwati, I. T. B., Liman, S. D., & Nurprihatin, F. (2025). The implementation of Lean Six Sigma approach to minimize waste at a food manufacturing industry. Journal of Engineering Research, 13(2), 611–626. https://doi.org/10.1016/j.jer.2024.01.022

Wolska, M., Gorewoda, T., Roszak, M., & Gajda, L. (2023). Implementation and improvement of the total productive maintenance concept in an organization. Encyclopedia, 3(4), 1537–1564. https://doi.org/10.3390/encyclopedia3040110

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Published

2026-07-07