Quality Control Analysis Using Statistical Quality Control (SQC) And Failure Mode Effect Analysis (FMEA) In The Production Process Of Za Plus Fertilizer
Abstract
The company PT.XYZ is an industrial logistics entity that has a main division in the field of warehousing and MBU, with a special focus on fertilizer bagging activities. The problems faced by this company are related to defects that occur in the fertilizer bagging process. This research aims to identify the most common defects, the factors that cause defects, and develop proposed corrective actions to improve the quality of fertilizer bagging. The research methodology applied involves Statistical Quality Control (SQC) and Failure Mode Effect Analysis (FMEA), using tools such as check sheets, pareto diagrams, control maps, and fishbone diagrams. The results of the research using the Statistical Quality Control (SQC) method showed that the most significant defect in the fertilizer bagging process was the tear defect, reaching a percentage of 58%, followed by the seam defect at 27%, and the underweight defect at 15%. Meanwhile, analysis with the Failure Mode Effect Analysis (FMEA) method shows that the type of tear defect has the highest Risk Priority Number (RPN) value, caused by a lack of caution when carrying out the process of putting fertilizer into pallets. As a recommendation for improvement, it is recommended to organize training on work procedures for employees to improve their understanding of the work procedures that apply at PT.XYZ. This step is expected to address the main problems identified in the study, especially related to the lack of care in the process of bagging fertilizer into pallets, so as to improve the quality of fertilizer bagging in the company.
Keywords
Full Text:
PDFReferences
M. E. Setiabudi, P. Vitasari, and T. Priyasmanu, “Analisis Pengendalian Kualitas Untuk Menurunkan Jumlah Produk Cacat Dengan Metode Statistical Quality Control Pada Umkm. Waris Shoes,” J. Valtech, vol. 3, no. 2, pp. 211–218, 2020, [Online]. Available: https://ejournal.itn.ac.id/index.php/valtech/article/view/2734
J. Saka et al., “Dual Statistical Quality Control Charts with Table of Quality Determinant in Manufacturing Industries,” Int. J. Inf. Process. Commun. (IJIPC, vol. 7, no. 1, pp. 242–252, 2019, [Online]. Available: https://www.researchgate.net/publication/339508539
I. Andespa, “Analisis Pengendalian Mutu dengan Menggunakan Statistikal Quality Control ( SQC ) pada PT . PRATAMA ABADI INDUSTRI ( JX ) Sukabumi Ira Andespa Fakultas Ilmu Administrasi dan Humaniora Universitas Muhammadiyah Sukabumi , Jawa Barat , Indon,” E-Jurnal Ekon. dan Bisnis Univ. Udayana, vol. 2, pp. 129–160, 2020.
N. A. Cahaya Mulia and R. Rochmoeljati, “Pengendalian Kualitas Pengelasan Menggunakan Metode Statistical Quality Control (SQC) dan Failure Mode Effect Analysis (FMEA) di PT. PAL Indonesia,” Juminten, vol. 2, no. 6, pp. 60–71, 2021, doi: 10.33005/juminten.v2i6.346.
D. Hendrawan, M. Wirawati, and H. Wijaya, “Analisis Pengendalian Kualitas Pada Proses Boning Sapi Wagyu Menggunakan Statistical Quality Control (Sqc) Di Pt. Santosa Agrindo,” J. Ind. Eng. Manag. Res. ( Jiemar), vol. 1, no. 2, pp. 2722–8878, 2020.
Y. Walujo, D. A., Koesdijati, T., & Utomo, pengen dalian kualitas, 1st ed. secopindo media pustaka, 2020.
I. I. S. Haryanto, P. Sari, and I. B. Suardika, “Penerapan Metode SQC Untuk Mengetahui Kecacatan Produk Shuttlecock Pada UD. Ardiel Shuttlecock,” J. Teknol. Ind. Dan Manaj., vol. 1, no. 1, p. 6, 2019.
M. H. Cipta Dinata, D. Andesta, and H. Hidayat, “Analisis Pengendalian Kualitas Produk Tangga Besi Pt. Ajg Untuk Mengurangi Kecacatan Produk Menggunakan Metode Statistik Quality Control (Sqc),” J. Ind. Eng. Oper. Manag., vol. 5, no. 1, pp. 27–36, 2022, doi: 10.31602/jieom.v5i1.7181.
W. B. Setiawan, “Vulkanisir Dengan Metode Statistical Quality,” J. Valtech, vol. 1, no. 1, pp. 1–6, 2020, [Online]. Available: https://ejournal.itn.ac.id/index.php/valtech/article/view/5%0A
M. S. Arianti, E. Rahmawati, D. R. R. Y. Prihatiningrum, ) Magister, and A. Bisnis, “Analisis Pengendalian Kualitas Produk Dengan Menggunakan Statistical Quality Control (Sqc) Pada Usaha Amplang Karya Bahari Di Samarinda,” Ed. Juli-Desember, vol. 9, no. 2, pp. 2541–1403, 2020.
B. A. C. Putra, “Risk Assessment Alat Produksi Gula Cane Knife Pada Stasiun Gilingan Di Pt. X,” Indones. J. Occup. Saf. Heal., vol. 7, no. 3, p. 273, 2019, doi: 10.20473/ijosh.v7i3.2018.273-281.
M. S. A. Fath and R. A. Darajatun, “Tinjauan Perancangan Produksi dan Kualitas Pada Produk Rak Dies di CV Sarana Sejahtera Tehnik,” J. Ilm. Wahana Pendidik., vol. 8, no. 2, pp. 159–168, 2022, doi: 10.5281/zenodo.6105126.
I. Revita, A. Suharto, and A. Izzudin, “Studi Empiris Pengendalian Kualitas Produk Pada Vieyuri Konveksi Empirical Study of Quality Control in Vieyuri Konveksi,” Bisnis-Net J. Ekon. dan Bisnis, vol. 4, no. 2, pp. 39–49, 2021, doi: 10.46576/bn.v4i2.1695.
M. Abdurrahman, A. W. Rizqi, and M. Jufriyanto, “Pengendalian Kualitas Kayu Kering pada Mesin Kiln Dryer untuk Mengurangi Produk Cacat dengan Metode Seven Tools dan Failure Mode Effect Analysis,” vol. VIII, no. 4, pp. 7065–7077, 2023.
C. Choi, J. Kim, J. Kim, D. Kim, Y. Bae, and H. S. Kim, “Development of heavy rain damage prediction model using machine learning based on big data,” Adv. Meteorol., vol. 2018, 2018.
B. Lesmana, “Pengaruh Cost of Quality Terhadap Tingkat Design Quality Produk (Study Kasus Pada PT. Unindo Nusantara Perkasa Sentosa UNPS, Tangerang – Banten,” Dwijacendekia J. Ris. Pedagog., vol. 1, no. 1, pp. 1–9, 2021.
J. Laili and M. D. Kurniawan, “Optimalisasi Standar Kualitas Sarung Tenun Dengan Aplikasi Seven Tools Pengerajin Sarung Indonesia,” vol. 17, no. 1, pp. 35–45, 2023.
Z. M. Firmansyah, P. Studi, T. Industri, and F. Sains, “Analisis Pengendalian Kualitas Produksi Carica Menggunakan Metode Seven Tools Studi Kasus Pada CV Gemilang Kencana,” vol. 2, no. 3, 2023.
M. Anggraini, Sulastri, and N. A. Anggriawan, “Analisis Pengendalian Kualitas Pengolahan Produk Karet Remah SIR 20 dengan Pendekatan Statistical Quality Control,” Rekayasa, Teknol. dan Sains, vol. 3, no. 1, pp. 21–26, 2019.
T. P. Matondang and M. M. Ulkhaq, “Aplikasi Seven Tools untuk Mengurangi Cacat Produk White Body pada Mesin Roller,” J. Sist. dan Manaj. Ind., vol. 2, no. 2, p. 59, 2018, doi: 10.30656/jsmi.v2i2.681.
DOI: https://doi.org/10.26877/asset.v6i1.17358
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Advance Sustainable Science, Engineering and Technology (ASSET)
E-ISSN: 2715-4211
Published by Science and Technology Research Centre
Universitas PGRI Semarang, Indonesia
Website: http://journal.upgris.ac.id/index.php/asset/index
Email: [email protected]