Pengembangan Metodologi Six Sigma Berbasis Dmaic dengan  Pendekatan Internet of Things (IOT) Untuk Meningkatkan  Pengendalian Mutu di Industri Manufaktur

Maryudi Rahma Saputra; Mokh  Suef

doi:10.36418/syntax-literate.v11i1.63735

Maryudi Rahma Saputra Institut Teknologi Sepuluh Nopember
Mokh Suef Institut Teknologi Sepuluh Nopember

DOI: https://doi.org/10.36418/syntax-literate.v11i1.63735

Keywords: Six Sigma, Internet of Things (IoT), DMAIC, Quality Control, Acrylic Manufacturing

Abstract

In the manufacturing industry, quality control is a crucial factor in ensuring high-quality products that meet established standards. This study aims to develop a Six Sigma (SS) methodology with an Internet of Things (IoT) approach to enhance quality control effectiveness in the acrylic manufacturing industry. The method used in this study follows the DMAIC (Define, Measure, Analyze, Improve, Control) approach, combined with IoT technology to detect, analyze, and optimize the production process in real-time. This study employs a quantitative and qualitative (mixed-method) approach, collecting data through IoT sensor installations, production data analysis, and quality inspection. The collected data is analyzed using statistical methods and Six Sigma techniques to identify the main factors causing defects in acrylic production. Subsequently, an IoT system is implemented to improve automatic quality monitoring, reduce process variation, and optimize production efficiency. The research findings indicate that the integration of Six Sigma and IoT can significantly reduce product defect rates compared to conventional methods. Furthermore, the application of an IoT-based monitoring system enhances the speed of anomaly detection in the production process, allowing corrective actions to be taken more quickly and accurately. In conclusion, implementing this methodology can be an effective solution for the manufacturing industry to improve operational efficiency, reduce waste, and ensure consistent product quality.

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References

Antony, J., Snee, R., & Hoerl, R. (2017). Six Sigma: yesterday, today and tomorrow. International Journal of Quality and Reliability Management, 34(7), 1073�1093. https://doi.org/10.1108/IJQRM-03-2016-0035
Banerjee, A., Rahim Mohammad Forkan, A., Georgakopoulos, D., Karabotic Milovac, J., & Prakash Jayaraman, P. (2021). An IIoT machine model for achieving consistency in product quality in manufacturing plants. ArXiv Preprint ArXiv:2109.12964.
Bintang candra, dita amalia. (2022). Tinjauan Literatur Sistematis Penerapan DMAIC dan DMADV .pdf. 1(2), 77�95.
Buer, S. V., Strandhagen, J. O., & Chan, F. T. S. (2018). The link between industry 4.0 and manufacturing: Mapping current research and establishing a research agenda. International Journal of Production Research, 56(8), 2924�2940. https://doi.org/10.1080/00207543.2018.1442945
Caiado, R., Nascimento, D., Quelhas, O., Tortorella, G., & Rangel, L. (2018). Towards sustainability through green, and Six Sigma integration at service industry: Review and framework. Technological and Economic Development of Economy, 24(4), 1659�1678. https://doi.org/10.3846/tede.2018.3119
Huang, J., Irfan, M., Fatima, S. S., & Shahid, R. M. (2023). The role of Six Sigma in driving sustainable manufacturing practices: an analysis of the relationship between Six Sigma principles, data-driven decision making, and environmental performance. Frontiers in Environmental Science, 11(June), 1�12. https://doi.org/10.3389/fenvs.2023.1184488
JASMINE, K. (2018). Penambahan Natrium Benzoat Dan Kalium Sorbat (Antiinversi) Dan Kecepatan Pengadukan Sebagai Upaya Penghambatan Reaksi Inversi Pada Nira Tebu. Penambahan Natrium Benzoat Dan Kalium Sorbat (Antiinversi) Dan Kecepatan Pengadukan Sebagai Upaya Penghambatan Reaksi Inversi Pada Nira Tebu, VIII(1), 14�29.
Jayaram, A. (2018). Six Sigma approach for global supply chain management using industry 4.0 and IIoT. Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics, IC3I 2016, December 2016, 89�94. https://doi.org/10.1109/IC3I.2016.7917940
Kumar, P., Bhadu, J., Design, F., Singh, D., & Bhamu, J. (2023). Integration between , Six Sigma and Industry 4 . 0 technologies Integration between , Six Sigma and Industry 4 . 0 technologies Pramod Kumar , Jagdish Bhadu , Dharmendra Singh and Jaiprakash Bhamu *. October, 0�19.
Madhani, P. M. (2022). Six Sigma Deployment in Retail Industry: Enhancing Competitive Advantages. SSRN Electronic Journal, January. https://doi.org/10.2139/ssrn.4002472
Mendon�a J�nior, Farid; Montenegro, Marcos; Thadani, Ramesh; Pedroso, Gisele A. C.; Oliveira, M. A. de. (2018). Industry 4 . 0 as a way to enhance Manufacturing and Six Sigma. Fifth European Educator Conference, November, 152�160. http://www.elec2018.pt/
Mutaqiem, A., Soediantono, D., & Staf Dan Komando Angkatan Laut, S. (2022). Literature Review of Total Productive Maintenance (TPM) and Recommendations for Application in the Defense Industries. Journal of Industrial Engineering & Management Research, 3(2), 2722�8878. http://www.jiemar.org
Rahardjo, B., Wang, F. K., Yeh, R. H., & Chen, Y. P. (2023). Manufacturing in Industry 4.0: A Smart and Sustainable Manufacturing System. Machines, 11(1). https://doi.org/10.3390/machines11010072
Rahmadi, I., & Bernik, M. (2018). Penerapan Six Sigma Pada Ukm Untuk Meningkatkan Kualitas Produk Pendukung Perangkat Telekomunikasi. ISEI Business and Management Review, II(1), 9. http://jurnal.iseibandung.or.id/index.php/ibmr
Rane, S. B., Wavhal, S., & Potdar, P. R. (2023). Integration of Six Sigma with Internet of Things (IoT) for productivity improvement: a case study of contactor manufacturing industry. International Journal of System Assurance Engineering and Management, 14(5), 1990�2018. https://doi.org/10.1007/s13198-023-01980-7
Roux, M. (2020). The Hype and Disruptive Technologies of Industry 4.0 in Major Industrial Sectors: A State of the Art. Maturing Leadership: How Adult Development Impacts Leadership, 1(June), 7�35. https://doi.org/10.20944/preprints202006.0007.v1
Sajovic, I., Kert, M., & Boh Podgornik, B. (2023). Smart Textiles: A Review and Bibliometric Mapping. In Applied Sciences (Switzerland) (Vol. 13, Issue 18). https://doi.org/10.3390/app131810489
Sanders, A., Elangeswaran, C., & Wulfsberg, J. (2019). Industry 4.0 implies manufacturing: Research activities in industry 4.0 function as enablers for manufacturing. Journal of Industrial Engineering and Management, 9(3), 811�833. https://doi.org/10.3926/jiem.1940
Skalli, D., Charkaoui, A., Cherrafi, A., Garza-Reyes, J. A., Antony, J., & Shokri, A. (2023). Industry 4.0 and Six Sigma integration in manufacturing: A literature review, an integrated framework and proposed research perspectives. Quality Management Journal, 30(1), 16�40. https://doi.org/10.1080/10686967.2022.2144784
Sodhi, H. (2020). When Industry 4.0 meets Six Sigma: A review. Industrial Engineering Journal, 13(1), 1�12. https://doi.org/10.26488/iej.13.1.1214
Sony, M., & Naik, S. (2020). Critical factors for the successful implementation of Industry 4.0: a review and future research direction. Production Planning and Control, 31(10), 799�815. https://doi.org/10.1080/09537287.2019.1691278
Version, D., & Yuniarto, A. (2021). Six Sigma in Smart Factories based on Industry 4 . 0. International Journal of Emerging Trends in Energy and Environment, 1(1), 0�26.
Wati, D. Z., & Laksono, P. W. (2022). Metode Six Sigma sebagai Solusi Peningkatan dan Pengendalian Kualitas Proses Produksi KKBW 480 di PT INKA Persero. Seminar Dan Konferensi Nasional IDEC 2022, 5(2018), 1�11.
Wijaya, M. T., & Yanti, R. (2022). Peningkatan Produktivitas pada Konveksi XYZ Menggunakan Metode Manufacturing dan Kaizen. Idec, 1�7.
Womack, J. P. and D. T. J. (2019). Thinking: Banish Waste and Create Wealth in your corporation . Second Edition. London: Free Press Business. 1�23.