Pembuatan Alat Scaling Cooling dengan Metode Quality Function Deployment (QFD) Untuk Menurunkan Trouble Cooling Tersumbat Pada Mold Plastic Injection

Authors

DOI:

https://doi.org/10.35194/jmtsi.v8i2.3932

Keywords:

Eight step, HoQ, Plastic Injection, QFD, Scaling Cooling

Abstract

A company in the automotive industry that manufactures motorcycles requires covers made through a plastic injection process. One of the main problems in the plastic injection process, based on the eight steps, is the occurrence of clogged mold cooling lines because the cooling system in injection molding is crucial to the production process. An optimal cooling system will produce an even heat transfer gradient and will have an effect on the resulting product. Currently, the problem of clocked cooling pathways in the mold is handled manually using brushes and air spray, so it is less than optimal because it cannot reach all the cooling pathways in the mold. The aim of this research is to reduce the number of mold cooling-clocked problems by creating a scaling  cooling tool. The scaling  cooling method is a method used to clean the mold cooling channels using chemicals in the form of acid compounds. The cooling scaling  tool is made using House of Quality (HoQ), which is a tool from the Quality Function Deployment (QFD) method for developing a product. This research uses the eight steps method as a problem-solving method. Eight steps are included in the Plan, Do, Check, and Action (PDCA) cycle. The PDCA cycle is an iterative and continuous activity of continuous improvement. The results of using the mold cooling scaling  tool, which was successfully created in this research, were able to reduce the number of mold cooling blockage problems to zero over a period of time, starting from the trial use of the cooling scaling  tool up to the mold preventive maintenance standard, namely 40,000 ± 5000 shoots.
The cooling mold channel maintenance time is 71.4% faster than before the scaling  tool.

 

Sebuah perusahaan di bidang otomotif yang memproduksi sepeda motor memerlukan cover yang dibuat melalui proses injeksi plastik. Salah satu masalah yang menjadi perhatian pada proses injeksi plastik di adalah terjadinya penyumbatan pada jalur pendingin mold. Tersumbatnya jalur pendingin mold dapat mengganggu produktivitas dan kualitas produk karena sistem pendinginan pada injeksi molding sangat memegang peranan dalam proses produksi khususnya pada industri plastik. Sistem pendinginan yang optimal akan menghasilkan gradien perpindahan panas yang merata dan akan berpengaruh pada produk hasil . Saat ini, masalah tersumbatnya jalur pendingin pada mold ditangani secara manual dengan menggunakan sikat dan penyemprotan angin sehingga kurang optimal karena tidak bisa menjangkau pada semua jalur pendingin di dalam mold. Tujuan dari penelitian ini adalah menurunkan angka masalah tersumbatnya pendingin mold dengan membuat sebuah alat scaling  pendingin. Metode scaling  pendingin adalah metode yang digunakan untuk membersihkan saluran pendingin mold dengan menggunakan bantuan bahan kimia berupa senyawa asam. Alat scaling  pendingin dibuat menggunakan House of Quality (HOQ) yang merupakan alat dari metode Quality Function Deployment (QFD) dalam mengembangkan sebuah produk.  Penelitian ini menggunakan metode eight steps sebagai metode pemecahan masalah. Eight steps termasuk ke dalam siklus Plan, Do, Check, dan Action (PDCA). Siklus PDCA adalah kegiatan berulang dan terus menerus dari perbaikan berkelanjutan. Hasil dari penggunaan alat scaling  pendingin mold  yang berhasil dibuat pada penelitian ini dapat menurunkan angka masalah tersumbatnya pendingin mold menjadi 0 dengan jangka waktu mulai dari trial penggunaan alat scaling  pendingin sampai dengan standar preventive maintenance mold yaitu 40.000±5000 shoot. Waktu perawatan saluran cooling mold menjadi lebih cepat 71.4% dibandingkan sebelum adanya alat scaling.

Author Biography

Neilinda Novita Aisa, Politeknik Astra

Jurusan Teknik Mesin dan Industri

References

[1] A. B. P. Fauzan, “Kajian Numerik Pengaruh Konfigurasi Cooling Channel Terhadap Performa Pendinginan Produk Plastik Pada Mold Injeksi,” 2018.
[2] M. Jamialahmadi and H. Müller-Steinhagen, “Heat exchanger fouling and cleaning in the dihydrate process for the production of phosphoric acid,” Chemical Engineering Research and Design, vol. 85, no. 2, pp. 245–255, 2007.
[3] M. J. Economides and K. G. Nolte, Reservoir stimulation, vol. 2. Prentice Hall Englewood Cliffs, NJ, 1989.
[4] I. Siregar, “Application Quality Function Deployment to Improve Quality of Patient Service in Hemodialysis Installation,” in IOP Conference Series: Materials Science and Engineering, 2019, pp. 1–5.
[5] S. Joshi and P. Bhargava, “Waste Management Integration with Green Quality Function Deployment (G-QFD) for Healthcare Centre,” Production Engineering Archives, vol. 22, no. 22, pp. 45–49, 2019, doi: 10.30657/pea.2019.22.09.
[6] N. Latif and M. R. Radyanto, “Pengembangan Desain Produk Penyangrai Biji Melinjo Menggunakan Metode Quality Function Deployment ( QFD ),” vol. 9, no. 2, pp. 544–552, 2023.
[7] R. Nur Sulaiman and M. N. Assidiq, “Mesin CNC Laser Berbasis Arduino Uno dengan Pendekatan QFD,” Jurnal Industrikrisna, vol. 12, no. 2, pp. 16–27, 2023.
[8] F. Dianawati, H. Hanif, and L. Maiciptaani, “Strategy of service quality improvement for commuter line Jabodetabek train using integration methods of SERVQUAL and Kano Model into House of Quality,” in AIP Conference Proceedings, 2019, pp. 1–9. doi: 10.1063/1.5139753.
[9] A. Hasibuan et al., “Service Quality Improvement by Using the Quality Function Deployment (QFD) Method at the Government General Hospital,” in Journal of Physics: Conference Series, 2019, pp. 1–8.
[10] I. Sukarno et al., “Perancangan Alat Disinfects UV dengan Metode Quality Function Deployment,” vol. 9, no. 1, pp. 63–70, 2023.
[11] E. A. Wibowo, G. M. Munandar, and M. N. W. Hidayah, “Formula Optimal dalam Penentuan Aspek Penting pada Desain Alat Pemotong Ring AMDK Gelas Plastik Menggunakan Metode Quality Function Deployment (QFD),” Industrika: Jurnal Ilmiah Teknik Industri, vol. 8, no. 1, pp. 162–169, 2024.
[12] P. Priyono and F. Yuamita, “Pengembangan Dan Perancangan Alat Pemotong Daun Tembakau Menggunakan Metode Quality Function Deployment (QFD),” Jurnal Teknologi dan Manajemen Industri Terapan, vol. 1, no. 3, pp. 137–144, 2022.
[13] A. A. Nashida, D. A. Nuriyadi, N. S. Prameswari, I. P. Senthika, Z. N. Rahma, and R. A. Imran, “Perancangan Troli Ergonomis sebagai Alat Bantu Angkut Karung dengan Quality Function Deployment pada Penggilingan Padi Sri Rezeki di Banyumas,” Jurnal Media Teknik dan Sistem Industri, vol. 8, no. 1, pp. 60–69, 2024.
[14] H. Irwan, “Perancangan Ulang Alat Bantu Proses Assembly touch panel Untuk Mengurangi Cacat Produk Menggunakan Metode Quality Function Deployment,” Jurnal Manajemen Rekayasa dan Inovasi Bisnis, vol. 2, no. 2, pp. 84–92, 2024.
[15] H. Darmawan, S. Hasibuan, and H. Hardi Purba, “Application of Kaizen Concept with 8 Steps PDCA to Reduce in Line Defect at Pasting Process: A Case Study in Automotive Battery,” International Journal of Advances in Scientific Research and Engineering, vol. 4, no. 8, pp. 97–107, 2018, doi: 10.31695/ijasre.2018.32800.
[16] Suratno and B. P. Ichtiarto, “Reduce Carbon Emissions of Logistic Transportation Using Eight Steps Approach in Indonesian Automotive Industry,” Journal Europeen des Systemes Automatises, vol. 54, no. 6, pp. 819–826, 2021.
[17] E. Setiobudi, “Analisis Sistem Penilaian Kinerja Karyawan Studi pada PT. Tridharma Kencana,” JABE (Journal of Applied Business and Economic), vol. 3, no. 3, p. 170, 2017, doi: 10.30998/jabe.v3i3.1768.
[18] H. Hernadewita, I. Setiawan, and H. Hendra, “Enhance quality improvement through lean six sigma in division Side Board Clavinova Piano’s,” International Journal of Production Management and Engineering, vol. 10, no. 2, pp. 173–181, 2022, doi: 10.4995/ijpme.2022.16140.
[19] S. Suparno and A. S. Susanto, “Peningkatan Produktivitas Leaf Spring Jenis Minicup Tipe MMS 2230 dengan Mengurangi Pemborosan Proses Produksi Melalui Penerapan Metode Lean Manufacturing,” Jurnal Rekayasa Sistem Industri, vol. 10, no. 1, pp. 89–100, 2021, doi: 10.26593/jrsi.v10i1.3813.89-100.
[20] P. Duan, Z. He, Y. He, F. Liu, A. Zhang, and D. Zhou, “Root cause analysis approach based on reverse cascading decomposition in QFD and fuzzy weight ARM for quality accidents,” Computers and Industrial Engineering, vol. 147, 2020, doi: 10.1016/j.cie.2020.106643.
[21] S. Avikal, R. Singh, and R. Rashmi, “QFD and Fuzzy Kano model based approach for classification of aesthetic attributes of SUV car profile,” Journal of Intelligent Manufacturing, vol. 31, no. 2, pp. 271–284, 2020, doi: 10.1007/s10845-018-1444-5.
[22] D. H. Cropley, “Applying quality function deployment to the design of engineering programmes: approaches, insights and benefits,” Australasian Journal of Engineering Education, vol. 00, no. 00, pp. 1–14, 2020, doi: 10.1080/22054952.2020.1776532.
[23] H. F. P. Simanjuntak, P. Manik, and A. W. B. Santosa, “Analisa Pengaruh Panjang, Letak dan Geometri Lunas Bilga Terhadap Arah dan Kecepatan Aliran (Wake) Pada Kapal Ikan Tradisioal (Studi Kasus Kapal Tipe Kragan),” Jurnal Teknik Perkapalan, vol. 5, no. 1, 2017.
[24] P. M. Gerhart, A. L. Gerhart, and J. I. Hochstein, Fundamentals of Fluid Mechanics Eight Edition. 2016.

Downloads

Additional Files

Published

2024-09-30

Issue

Section

Articles