Analysis of Quality Control for Automatic Transmission Products MCVT Model By Six Sigma Approach at PT HPPM, Indonesia
DOI:
https://doi.org/10.31695/IJERAT.2020.3662Keywords:
Quality Control, Six Sigma, DMAIC, Defective ProductsAbstract
PT HPPM is a manufacturing company engaged in the automotive sector. The products produced include Automatic Transmission (ATM), Engine Valve (EV), Four Wheel Drive (4WD), and Stell Belt, which are marketed at home and abroad. In carrying out its production activities, PT HPPM has guidelines for controlling its products' quality to compete in the automotive industry, including ATM products with the MCVT (Medium Continuously Variable Transmission) model. The method used in the quality control analysis of this research is Six Sigma, a vision of quality improvement towards a target of 3,4 failures per million opportunities for every transaction of goods and services, Gasperz (2005). To apply the Six Sigma concept, a measurement method is needed to assist the implementation of Six Sigma in the company. There are five steps in this method's stages, namely DMAIC (Define, Measure, Analyze, Improve, Control).
There are four potential Critical To Quality (CTQ) that cause the product to become defective or fail in the MCVT model, namely NG Leak, NG Gata, NG Circlip, and NG OPC. The highest defect is NG Leak defect, 127 units with a percentage of 45.68% of the total number of defects produced—then followed by defects NG Gata with 79 units with a percentage of 28.42%. Meanwhile, another defect is NG Circlip, with 62 units with a percentage of 22.30%, then NG OPC as many as ten units with a percentage of 3.60%.
By using the Six Sigma method and the DMAIC step (Define, Measure, Analyze, Improve, Control), it can be seen that the quality of MCVT products in the Main Line 1 process is good, which is at the level of 4,876 sigma with 370 Defect Per Million Opportunity (DPMO). From the Define stage by mapping and identifying problems to find out the causes of defective products, the Measure Stage by calculating the stability of the poses using the SPC method to determine the Proportion, CL, UCL, and LCL and calculating the process capability to determine the sigma level value and the DPMO value. The Analyze stage identifies the source of the problem with the Fishbone Diagram, the Improve stage looks for solutions using the 5W1H method, then Control to maintain and maintain process improvements. The results showed a decrease in the DPMO value from 383 units to 370 and an increase in the sigma level value from 4,868 to 4,876. This shows that the company has been able to implement a good quality control system
References
Haekal, J., Hanum, B., & Adi Prasetio, D. E. 2020. Analysis of Operator Body Posture Packaging Using Rapid Entire Body Assessment (REBA) Method: A Case Study of Pharmaceutical Company in Bogor, Indonesia. International Journal of Engineering Research and Advanced Technology - IJERAT (ISSN: 2454-6135), 6(7), 27-36.
Hanum, B., Haekal, J., & Adi Prasetio, D. E. . 2020. The Analysis of Implementation of Enterprise Resource Planning in the Warehouse Division of Trading and Service Companies, Indonesia . International Journal of Engineering Research and Advanced Technology - IJERAT (ISSN: 2454-6135), 6(7), 37-50.
Kholil, M., Haekal, J., Eko Adi Prasetio, D. ., & Sulaiman Hasan. 2020. The Lean Manufacturing Design For Improving Production Scheduling Using Product Wheel Method in Chemical Manufacturing Company, Indonesia. International Journal of Engineering Research and Advanced Technology - IJERAT (ISSN: 2454-6135), 6(8), 12-18.
Haekal, J., & Setio, H. 2017. Selection of Raw Material Suppliers Using Analytical Hierarchy Process in Food and Beverage Company, South Jakarta. ComTech: Computer, Mathematics and Engineering Applications, 8(2), 63-68.
HAEKAL, J. (2018). PERANCANGAN DAN EVALUASI IMPLEMENTASI SISTEM MANAJEMEN MUTU ISO 9001: 2015 MELALUI KEPUASAN PELANGGAN DI UNIVERSITAS ISLAM AS-SYAFI’IYAH (Doctoral dissertation, Universitas Mercu Buana Jakarta).
Kholil, M., Haekal, J. H, Sulaiman. 2020. Lean Manufacturing Design to Reduce Waste in Gear Production Process Using VSM and Kaizen Method Approaches (Case Study: Gear Primary Driven K56 Product). Journal of Scientific and Engineering Research. 7(8), 1-9
Haekal, J., Hanum, B., & Adi Prasetio, D. E. 2020. Application of Quantitative Strategic Planning Matrix (QSPM) For Determination of Alternative Strategies in Food and Beverage SMES in Bogor Indonesia. Journal of Scientific and Engineering Research. 7(7), 137-145
Hanum, B., Haekal, J., & Adi Prasetio, D. E. . 2020. SPHC Material Inventory Control Analysis in Project VL01 Centralized by the EOQ Method in Automotive Company Indonesia. Journal of Scientific and Engineering Research. 7(7), 130-136
Andiana, M. (2017). Aplikasi Metode EOQ Dalam Pengendalian Persediaan Bahan Baku PT X. Jurnal Akuntansi Maranatha, Vol. 10(1), Hal. 31.
Syukron, Amin & Kholil, Muhammad.2013. Pengantar Teknik Industri. GRAHA ILMU. Yogyakarta.
Pete & Holpp.2002. What Is Six Sigma. ANDI. Yogjakarta.
Gaspersz, Vincent. 2005. Total Quality Management. PT Gramedia Pustaka Utama. Jakarta.
E.Wood Buffa.1989. Manajemen Produksi dan Operasi. Edisi keenam Jilid kedua. Erlangga. Jakarta
Sukardi.,Usman Effendi dan Diyah Ayu Astuti. 2011. “Aplikasi Six Sigma pada Pengujian Kualias Produk di UKM Keripik Apel Tinjauan dari Aspek Proses”, Jurnal Teknologi, Volume 12 Nomor 1.
Rendy Kaban. 2104. “Pengendalian Kualitas Kemasan Plastik Pouch menggunakan Statisticl Procces Control (SPC) di PT INCASARI RAYA PADANG” Jurnal Optimasi Sistem Industri, Volume 13 Nomor 1.
Ibrahim Ghifari, Ambar Harsono dan Abu Bakar.2013.”Analisa Six Sigma untuk Mengurangi Jumlah Cacat di Station Kerja Sablon (Studi Kasus: CV.Miracle)”. Jurnal Online Institut Teknologi Nasional.Volume 1 Nomor 1
Downloads
Published
Issue
Section
License
Copyright (c) 2020 Betrhriza Hanum Hanum, Ragil Pardiyono Pardiyono, Andy Kurniawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
