Integrasi Statistical Quality Control dan Failure Mode and Effect Analysis Dalam Menganalisis Defect Pada Proses Produksi
DOI:
https://doi.org/10.52759/inventory.v5i1.188Keywords:
Defect, Failure Mode and Effect Analysis, Statistical Quality ControlAbstract
One of the companies that make tools for printing at one of the printing companies in Jakarta has a product in the form of Offset Roller Printing, where Offset Roller Printing is a mainstay product with the highest sales. The company promises a declining trend in the rejection rate in 2024, with the rejection rate not exceeding 2%. For that, an analysis of the cause of the problem will be carried out until a repair proposal is obtained by using an integrated method which is Statistical Quality Control (SQC) with Failure Mode Effect Analysis (FMEA). Based on the check sheet, it shows the total production in January - December 2023 of 5699. On the overall operational map, there is no point that is outside the upper or lower operational limits. From the results of the FMEA analysis, it can be seen that the highest RPN is the cover for the method factor with the first priority having an RPN value of 252 which means that the vulcanization temperature is not reached or the temperature of the maturity point is not reached. unable to. There is a need to renew the vulcanization recipe so that the rubber matures perfectly and avoids the occurrence of oblong or closed defects. In addition, improvement proposals as a form of evaluation results are given related to the operator's attention factor, operator's skill, various types of materials, working environment temperature, no machine control, comfortable work environment, hostap plastic setting.
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References
Syarifah Nazia, Safrizal, and Muhammad Fuad, “PERANAN STATISTICAL QUALITY CONTROL (SQC) DALAM PENGENDALIAN KUALITAS: STUDI LITERATUR,” J. Mhs. Akunt. Samudra, vol. 4, no. 3, pp. 125–138, Jun. 2023, doi: 10.33059/jmas.v4i3.8079.
A. Goyal, R. Agrawal, and C. R. Saha, “Quality management for sustainable manufacturing: Moving from number to impact of defects,” J. Clean. Prod., vol. 241, p. 118348, Dec. 2019, doi: 10.1016/j.jclepro.2019.118348.
E. Álvarez, P. J. Moya-Férnandez, F. J. Blanco-Encomienda, and J. F. Muñoz, “Methodological insights for industrial quality control management: The impact of various estimators of the standard deviation on the process capability index,” J. King Saud Univ. - Sci., vol. 27, no. 3, pp. 271–277, Jul. 2015, doi: 10.1016/j.jksus.2015.02.002.
M. Z. Hossain, “Statistical Process Control (SPC) as a tool for Measuring Customer Dissatisfaction Level and Service Process Improvement,” Stat. Process Control, 2019.
A. A. Kusuma, H. Yanti, Y. Mariani, M. Dirhamsyah, and F. Yusro, “ANALISIS PENGENDALIAN MUTU PRODUK STIK DUPA MENGGUNAKAN STATISTICAL QUALITY CONTROL (SQC) DI PT XY KABUPATEN MEMPAWAH: Analysis of Product Quality Control of Incense Sticks Using Statistical Quality Control (SQC) at PT XY Mempawah Regency,” J. Penelit. Has. Hutan, vol. 41, no. 3, pp. 121–136, Dec. 2023, doi: 10.55981/jphh.2023.2521.
Yulia Wilda, H. Meiliati, M. A. Rafsanjani, and F. Rahadi, “Analisis Pengendalian Mutu Crude Palm Kernel Oil (CPKO) Dengan Menggunakan Metode Statical Statistical Quality Control (SQC),” J. Teknol. Dan Manaj. Ind. Terap., vol. 2, no. 2, pp. 119–127, May 2023, doi: 10.55826/tmit.v2i2.71.
W. Handayani, H. M. Anhar, and L. Murjana, “QUALITY CONTROL OF WRITTEN BATIK CV. BATIK TULIS AL HUDA WITH STATISTICAL QUALITY CONTROL (SQC) METHOD,” J. Ekon. Balance, vol. 17, no. 2, pp. 290–300, Dec. 2021, doi: 10.26618/jeb.v17i2.6206.
Y. B. Pramono, C. Gunawan, and A. N. Al-Baari, “Implementation of statistical quality control (SQC) as a defective quality product control of Chinese tofu,” presented at the THE 4TH INTERNATIONAL CONFERENCE ON LIFE SCIENCE AND TECHNOLOGY (ICoLiST), Malang, Indonesia, 2023, p. 070013. doi: 10.1063/5.0106284.
R. Chaerunnisa, “SQC (Statistical Quality Control) Method Analysis of Quality Control in the Clothes Production Process: (Empirical Study of PT Busana Indah Global),” in Proceedings of the International Conference on Economics, Management, and Accounting (ICEMAC 2022), vol. 252, P. Hartanto, Ed., in Advances in Economics, Business and Management Research, vol. 252. , Dordrecht: Atlantis Press International BV, 2023, pp. 179–187. doi: 10.2991/978-94-6463-226-2_16.
F. Nurprihatin, G. D. Rembulan, J. F. Andry, S. Immanuella, and I. T. B. Widiwati, “Quality Control Analysis of Porcelain Products Using Overall Equipment Effectiveness and Statistical Quality Control Methods,” Manag. Prod. Eng. Rev., Aug. 2023, doi: 10.24425/mper.2023.147195.
H. M. Arief and D. Nusraningrum, “Analysis of Cable Product Quality Control Using Statistical Quality Control (SQC) Methods At PT SCC Tbk.”.
Mislan and H. Hardi Purba, “Quality Control of Steel Deformed Bar Product using Statistical Quality Control (SQC) and Failure Mode and Effect Analysis (FMEA),” IOP Conf. Ser. Mater. Sci. Eng., vol. 1007, no. 1, p. 012119, Dec. 2020, doi: 10.1088/1757-899X/1007/1/012119.
“Welding Quality Control Using Statistical Quality Control (SQC) Methods and Failure Mode Effect Analysis (FMEA) at PT. XYZ,” in Nusantara Science and Technology Proceedings, Galaxy Science, Nov. 2022. doi: 10.11594/nstp.2022.2707.
R. Adawiyah and D. S. Donoriyanto, “Analisis Kecacatan Produk Beras Kemasan 25 Kg Menggunakan Statistical Quality Control dan Failure Mode and Effect Analysis,” J. INTECH Tek. Ind. Univ. Serang Raya, vol. 8, no. 2, pp. 109–118, Oct. 2022, doi: 10.30656/intech.v8i2.4804.
B. Salah, M. Alnahhal, and M. Ali, “Risk prioritization using a modified FMEA analysis in industry 4.0,” J. Eng. Res., p. S2307187723001645, Jul. 2023, doi: 10.1016/j.jer.2023.07.001.
P. Nuchpho, S. Nansaarng, and A. Pongpullponsak, “Risk Assessment in the Organization by Using FMEA Innovation: A Literature Review,” 2014.
A. Jor, S. Alam, and J. Alam, “Application of Six Sigma Concept in Shoe Manufacturing for Quality Improvements: A Case Study,” 2018.
M. T. Sembiring and N. J. Marbun, “Defect Analysis Of Quality Palm Kernel Meal Using Statistical Quality Control In Kernels Factory,” J. Phys. Conf. Ser., vol. 1007, p. 012024, Apr. 2018, doi: 10.1088/1742-6596/1007/1/012024.
R. Saputra and D. T. Santoso, “Analisis Kegagalan Proses Produksi Plastik Pada Mesin Cutting Di Pt. Fkp Dengan Pendekatan Failure Mode and Effect Analysis Dan Diagram Pareto,” Barometer, vol. 6, no. 1, pp. 322–327, 2021, doi: 10.35261/barometer.v6i1.4516.
E. Simiele et al., “Mitigation of Intensity Modulated Radiation Therapy and Stereotactic Body Radiation Therapy Treatment Planning Errors on the Novel RefleXion X1 System Using Failure Mode and Effect Analysis Within Six Sigma Framework,” Adv. Radiat. Oncol., vol. 8, no. 5, p. 101186, Sep. 2023, doi: 10.1016/j.adro.2023.101186.
U. Amrina, A. Hidayatno, and T. Y. M. Zagloel, “A Model-Based Strategy for Developing Sustainable Cosmetics Small and Medium Industries with System Dynamics,” J. Open Innov. Technol. Mark. Complex., vol. 7, no. 4, p. 225, Dec. 2021, doi: 10.3390/joitmc7040225.
T. Aprianto, I. Setiawan, and H. H. Purba, “Implementasi metode Failure Mode and Effect Analysis pada Industri di Asia – Kajian Literatur,” J. Manaj., 2021.
H. H. Purba, A. Nindiani, A. Trimarjoko, C. Jaqin, S. Hasibuan, and S. Tampubolon, “Increasing Sigma levels in productivity improvement and industrial sustainability with Six Sigma methods in manufacturing industry: A systematic literature review,” Adv. Prod. Eng. Manag., vol. 16, no. 3, pp. 307–325, Sep. 2021, doi: 10.14743/apem2021.3.402.
