Analisis Pengendalian Kualitas PT DMI Untuk Mengurangi Tingkat Kerusakan Pada Produk Servo Motor dengan Menggunakan Metode Six Sigma
DOI:
https://doi.org/10.61722/jssr.v3i2.3792Keywords:
Six Sigma, Servo Motor, Automotive.Abstract
The manufacturing industry, particularly in the automotive and electronic component sectors, faces various challenges in producing high-quality goods while maintaining optimal production efficiency. PT DMI, which is engaged in manufacturing automotive components, is trying to improve the quality of its products, especially on servo motor components that play an important role as drivers in various automotive applications. However, the company was experiencing serious problems related to a high rate of product defects, which resulted in additional costs due to the remanufacturing process and decreased customer satisfaction.To overcome these issues, an effective quality control approach is needed. One method that has proven effective is Six Sigma, which focuses on reducing variability in the production process and eliminating product defects. Through the DMAIC (Define, Measure, Analyze, Improve, Control) approach, Six Sigma can help companies identify and resolve the source of problems that cause product defects. This research aims to implement Six Sigma as a quality control strategy at PT DMI and evaluate its effectiveness in reducing defects in servo motor products. Thus, the company is expected to increase productivity and meet international quality standards.
References
Bhat, S., Antony, J., Maalouf, M., E.V., G. and Salah, S. (2023). Applications of six sigma for service quality enhancement in the UAE: a multiple case study analysis and lessons learned. International Journal of Lean Six Sigma, 14(7), 1492–1517. https://doi.org/https://doi.org/10.1108/IJLSS-06-2022-0144
Escobar, C.A., Macias, D., McGovern, M., Hernandez-de-Menendez, M. and Morales-Menendez, R. (2022). Quality 4.0 – an evolution of Six Sigma DMAIC. International Journal of Lean Six Sigma, 13(6), 1200–1238. https://doi.org/https://doi.org/10.1108/IJLSS-05-2021-0091
Gonzalez Santacruz, E., Romero, D., Noguez, J. and Wuest, T. (2024). Integrated quality 4.0 framework for quality improvement based on Six Sigma and machine learning techniques towards zero-defect manufacturing. The TQM Journal, ahead-of-p. https://doi.org/https://doi.org/10.1108/TQM-11-2023-0361
Habidin, N.F., Mohd Yusof, S. and Mohd Fuzi, N. (2016). Lean Six Sigma, strategic control systems, and organizational performance for automotive suppliers. International Journal of Lean Six Sigma, 7(2), 110–135. https://doi.org/https://doi.org/10.1108/IJLSS-04-2015-0013
Jiang, W., Yan, Y., Yu, L., Li, H.J., Du, L. and Chen, W. (2020). Robust trajectory tracking control for parameter perturbation power cable mobile operation robot system. Industrial Robot, 45(6), 744–757. https://doi.org/https://doi.org/10.1108/IR-07-2018-0145
Liu, Y., Ren, Y., Zhang, M., Wei, K. and Hao, L. (2023). Solenoid valves quality improvement based on Six Sigma management. International Journal of Lean Six Sigma, 14(1), 72–93. https://doi.org/https://doi.org/10.1108/IJLSS-08-2021-0140
Pakdil, F. (2022). Six sigma project prioritization and selection methods: a systematic literature review. International Journal of Lean Six Sigma, 13(2), 382–407. https://doi.org/https://doi.org/10.1108/IJLSS-01-2021-0001
Setiawan, D., Purba, H. H., & Jaqin, C. (2023). Reducing of defects in the rubber crawler manufacturing with six sigma method. AIP Conference Proceedings, 2431(1), 20001. https://doi.org/10.1063/5.0118246
Swarnakar, V. and Vinodh, S. (2016). Deploying Lean Six Sigma framework in an automotive component manufacturing organization. International Journal of Lean Six Sigma, 7(3), 267–293. https://doi.org/https://doi.org/10.1108/IJLSS-06-2015-0023
Tumanggor, O. S. P., Purba, H. H., and Jaqin, C. (2023). Analysis of quality control and improvement using D-M-A-I-C method in the manufacturing industry. American Institute of Physics Conference Series, 2680(1), 020009. https://doi.org/10.1063/5.0126983
Downloads
Published
Issue
Section
License
Copyright (c) 2025 JOURNAL SAINS STUDENT RESEARCH
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
