Implementing Statistical Quality Control of refrigerator lamp cover production lines in a plastic injection molding company (Case Study: CV. ABC)
DOI:
https://doi.org/10.31764/protech.v3i1.15310Keywords:
Injection Molding, Product defect, Quality Control, Statistical Quality Control,Abstract
This research intends to detect the existence of uncontrolled quality control in plastic injection molding companies, with refrigerator lamp cover products. Quality control is conducted using the statistical quality control (SQC) method with tools such as check sheets, histograms, and control charts. Check sheets and histograms were used to make it easier to present the data for further analysis. Furthermore, a control chart was used to detect whether the cacative product was still under statistical control or not. The result of the analysis using the p control chart indicated that there was a production process in an uncontrolled state on the 11th day of the production process. The x-chart and R-chart control charts didn't need to be revised because the production was still within the control limits. Therefore, Cp values = 0.3665<1.33 and Cpk = 0.2819<1.33 indicate that the company’s process capability is not good. Therefore, it is suggested that the company take immediate action to solve the problem. By utilizing this research, the injection molding company can take preventive and corrective action in the early stages. Â
References
Anasagasti. (2013). Kimia Polimer. Encephale.
Bottani, E., Montanari, R., Volpi, A., Tebaldi, L., & Maria, G. Di. (2021). Statistical Process Control of assembly lines in a manufacturing plant: Process Capability assessment. Procedia Computer Science. https://doi.org/10.1016/j.procs.2021.01.353
Bryce, D. M. (1996). Plastic Injection Molding (Volume I M). Society Of Manufacturing Engineers (SME).
Fadhilah, H. A., & Wahyudi, W. (2022). Analisa Pengendalian Kualitas Produk Packaging Karton Box PT. X dengan Menggunakan Metode Statistical Quality Control (SQC). Jurnal Serambi Engineering, 7(2), 2948–2953. https://doi.org/10.32672/jse.v7i2.3987
Gaspersz, V. 2002. (2002). Pedoman implementasi program six sigma terintegrasi dengan ISO 9001: 2000, MBNQA, dan HACCP. PT. Gramedia Pustaka Utama, Jakarta.
Kemenperin. (2022). Indonesia Masuk Kategori Negara Industri. Kemenprin.Go.Id. https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiBv8ap0M__AhULzjgGHbyVDKgQFnoECA4QAQ&url=https%3A%2F%2Fkemenperin.go.id%2Fartikel%2F18473%2FIndonesia-Masuk-Kategori-Industri&usg=AOvVaw28WMDp1xeOFLgZTZv8g9VM&opi=899
Marriauwaty, D., & Fajrah, N. (2020). Analisis Pengendalian Kualitas Produk Kapasitor Pada Pt Xyz Batam. Journal of Industrial Engineering & Management Research (JIEMAR).
McComb, M. A. (2008). The Quality Toolbox. Technometrics. https://doi.org/10.1198/tech.2008.s900
McCue, J. D., Beck, A., & Smothers, K. (2009). Quality Toolbox. Journal for Healthcare Quality. https://doi.org/10.1111/j.1945-1474.2009.00008.x
Montgomery, D. C. (2009). Introduction to Sixth Edition Statistical Quality Control 6th edition (six editio). John Wiley&Sons Inc.
Pavletic, D., Sokovic, M., & Paliska, G. (2008). Practical Application of Quality Tools. International Journal for Quality Research.
Pearn, W. L., & Wu, C. W. (2006). Critical acceptance values and sample sizes of a variables sampling plan for very low fraction of defectives. Omega. https://doi.org/10.1016/j.omega.2004.08.001
Puspita, R. (2013). Acceptance Sampling Plans Untuk Mengendalikan Kualitas Produk Pada PT. Bridgestone Sumatera Rubber Estate. Malikussaleh Industrial Engineering Journal, 2(1), 14–17.
Starzyńska, B., Kujawińska, A., Górski, F., & Buń, P. (2022). VIRTUAL QUALITY TOOLBOX AS AN INNOVATIVE SOLUTION SUPPORTING LIFELONG LEARNING. International Journal for Quality Research. https://doi.org/10.24874/IJQR16.04-03
Stuart, M., Mullins, E., & Drew, E. (1996). Statistical quality control and improvement. In European Journal of Operational Research. https://doi.org/10.1016/0377-2217(95)00069-0
Tague, N. R. (2005). The Quality Toolbox - Second Edition. In Technometrics.
Zhu, Y., Hu, P., Li, X., Tian, Y., Bai, X., Liang, T., & Li, J. (2023). An End-to-End Data-Adaptive Pancreas Segmentation System with an Image Quality Control Toolbox. Journal of Healthcare Engineering. https://doi.org/10.1155/2023/3617318
Downloads
Published
Issue
Section
License
Authors who publish articles in Protech Biosystems Journal agree to the following terms:
- Authors retain copyright of the article and grant the journal right of first publication with the work simultaneously licensed under a CC-BY-SA or The Creative Commons Attribution–ShareAlike License.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).