Skip to main content Skip to main navigation menu Skip to site footer
Articles
Published: 2022-06-22

Analysis of Bottled Water Quality Control Using the FMEA Method and the Application of Kaizen (Case Study at PT. Lombok Pusaka Adam, Jelantik, Central Lombok)

Program Studi Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Mataram
Program Studi Teknik Mesin, Fakultas Teknik, Universitas Mataram
Program Studi Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Mataram

Abstract

Clean water is one of the basic needs with unlimited use, even in the economic field. The opportunities provided can be utilized by companies that produce bottled drinking water. The existence of defective products is obtained in production so that the need for quality analysis of the product is still within the control limits on the P chart. This is done by knowing the highest value in the influential failure mode. So that suggestions for improvement with Kaizen can be given. Based on the control P chart obtained, all points of defective products in the production process are within control limits with a UCL limit of 0.00804 and an LCL limit of 0.00602. This indicates that the defective product is statistically controlled. The Failure Mode and Effect Analysis (FMEA) method assigns a priority value to each failure mode, and the value is the Risk Priority Number (RPN). The biggest RPN is that the cover does not stick to the surface of the cup, with an RPN value of 240. The proposed improvement using the Kaizen method is to increase inspections and routine repairs on the machine.

References

  1. Alisjahbana, J. (2005). Evaluasi Pengendalian Kualitas Total Produk Pakaian Wanita Pada Perusahaan Konveksi, 8(1).
  2. Arif, M. S., Chauliah, F. P., & Ngudi, T. (2018). Peningkatan Grade Kain sarung dengan Mengurangi Cacat Menggunakan Metode Kaizen dan Siklus PDCA pada PT. X, 26(2), 222-231.
  3. Fatkhurrohman, A., & Subawa, S. (2016). Penerapan Kaizen Dalam Meningkatkan Efisiensi Dan Kualitas Produk Pada Bagian Banbury PT Bridgestone Tire Indonesia. Jurnal Administrasi Kantor, 4(1), 14-31.
  4. Gunawan (2014). Implementasi Pengendalian Kualitas Dengan Statistic Pada Proses Produksi Bayi do PT.Dewi Murni Solo, 3(2), 1-14.
  5. Marimin (2004). Teknik dan Aplikasi Pengambilan Keputusan Kriteria Majemuk.Jakarta : Grasindo.
  6. Montgomery, D. C. (1990). Pengantar pengendalian kualitas statistik, Yogyakarta: Gadjah Mada University Press.
  7. Refangga, M. A., Gusminto, E. B., & Musmedi, D. P. (2018). Analisis Pengendalian Kualitas Produk Air Minum Dalam Kemasan dengan Menggunakan Statistical Process Control (SPC) dan Kaizen Pada PT. Tujuh Impian Bersama Kabupaten Jember. e-Journal Ekonomi Bisnis dan Akuntansi, 5(2), 164-171.
  8. Sari, D. P., Marpaung, K. F., Calvin, T., Mellysa, M., & Handayani, N. U. (2018).Analisis Penyebab Cacat Menggunakan Metode FMEA dan FTA pada Departemen Final Sanding PT. Ebako Nusantara. Prosiding SNST Fakultas Teknik, 1(1).
  9. Susantyo, J., & Winarni., & Catur, H. (2011). Aplikasi Six Sigma DMAIC dan Kaizen Sebagai Metode Pengendalian dan Perbaikan Kualitas Produk, 4(1), 61-53.
  10. Wijaya, Toni (2011). Manajemen Kualitas Jasa. Jakarta : PT.Indeks Kembangan.

How to Cite

Pahmi, L., Sulistiowati, E. D., & Harsyiah, L. (2022). Analysis of Bottled Water Quality Control Using the FMEA Method and the Application of Kaizen (Case Study at PT. Lombok Pusaka Adam, Jelantik, Central Lombok). EIGEN MATHEMATICS JOURNAL, 5(1), 7–14. https://doi.org/10.29303/emj.v5i1.126