Analisis Produktivitas Mesin Filling Botol Dengan Metode Overal Equipment Effectiveness Dan Failure Mode And Effect Analysis

Main Article Content

Angga Prasetya Aji
Widya Setiafindari

Abstract

Abstrak


Perusahaan Daerah Air Minum (PDAM) Tirta Binangun merupakan perusahaan daerah di bidang penyediaan air wilayah kabupaten kulon progo serta memproduksi air minum dalam kemasan (AMDK) dengan merek dagang AirKu. PDAM Tirta Binangun terletak di Secang, Sendangsari, Pengasih, Kulon Progo. Permasalahan yang dihadapi perusahaan adalah produksi AMDK botol 600 ml memiliki kegagalan produk sebesar 16.038 botol dalam satu tahun yaitu bulan April 2021 sampai dengan Maret 2022. Berdasarkan masalah tersebut maka dilakukan pengukuran efektivitas mesin guna mengetahui seberapa produktivitas mesin filling. Metode yang digunakan adalah Overall Equipment Effectiveness (OEE) dan Failure Mode And Effect Analysis (FMEA). Hasil dari OEE menunjukkan tingkat efektivitas rata-rata mesin filling sebesar 87,48% sehingga kegagalan masih dalam toleransi dan memiliki nilai bagus karena lebih besar dari standart OEE yaitu 85%. Analisa Six Big Losses didapat empat faktor terbesar yaitu Reduce Speed Losses dengan persentase rata-rata 3,82% dan frekuensi relatif 39,01%, Downtime Losses dengan rata-rata 2,27 % dan frekuensi relatif 28,31%, Defect Losses dengan rata-rata 1,58 % dan frekuensi relatif 15,59%, Idle and Minor Stoppage dengan rata-rata 1,55 % dan frekuensi relatif 15,85%. Adapun usulan perbaikan adalah menambah 1 karyawan, dilakukan pengecekan berkala pemegang kepala botol dan mengganti dengan digital time relay two timmer pada directional control valve.


 


Kata kunci: Air Minum Dalam Kemasan, Failure Mode And Effect Analysis, Overall Equpment Effectiveness, Produktivitas,  Six Big Losses.


 


Abstract


The Regional Drinking Water Company (PDAM) Tirta Binangun is a regional company in the field of water supply in the Kulon Progo Regency area and produces bottled drinking water (AMDK) with the AirKu trademark. PDAM Tirta Binangun is located in Secang, Sendangsari, Pengasih, Kulon Progo. The problem faced by the company is that the production of 600 ml bottled drinking water has a product failure of 16,038 bottles in one year, from April 2021 to March 2022. Based on this problem, the effectiveness of the machine is measured to find out how productive the filling machine is. The methods used are Overall Equipment Effectiveness (OEE) and Failure Mode And Effect Analysis (FMEA). The results of the OEE show that the average effectiveness of the filling machine is 87.48% so that the failure is still within tolerance and has a good value because it is greater than the OEE standard, which is 85%. Six Big Losses analysis obtained the four biggest factors, namely Reduce Speed ​​Losses with an average proportion of 3.82% and a relative frequency of 39.01%, Downtime Losses with an average of 2.27% and a relative frequency of 28.31%, Defect Losses with an average of 1.58% and a relative frequency of 15.59%, Idle and Minor Stoppage with an average of 1.55% and a relative frequency of 15.85%. The proposed improvement is to add 1 employee, periodically check the bottle head holder and replace it with a digital time relay two timer on the directional control valve.


 


Keywords: Bottled Drinking Water, Failure Mode And Effect Analysis, Overall Equipment Effectiveness, Productivity, Six Big Losses

Article Details

How to Cite
Aji, A., & Setiafindari, W. (2023). Analisis Produktivitas Mesin Filling Botol Dengan Metode Overal Equipment Effectiveness Dan Failure Mode And Effect Analysis. Jurnal TRINISTIK: Jurnal Teknik Industri, Bisnis Digital, Dan Teknik Logistik, 2(1), 21-32. https://doi.org/10.20895/trinistik.v2i1.686
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References

Al Rasyid, H., 2018. Peningkatan Nilai Overall Equipment Effectiveness pada Proses Pembuatan Kaca Cermin dengan Metode Fmea. Oper. Excell. 10, 47–64.

Daman, A., Dewi Nusraningrum, 2020. Analysis of Overall Equipment Effectiveness (Oee) on Excavator Hitachi Ex2500-6. Dinasti Int. J. Educ. Manag. Soc. Sci. 1, 847–855. https://doi.org/10.31933/dijemss.v1i6.463

Diniaty, D., 2017. Analisis Total Produktive Maintenance (Tpm) Pada Stasiun Kernel Dengan Menggunakan Metode Overall Equipment Effectiveness (Oee) Di Pt. Surya Agrolika Reksa. J. Tek. Ind. J. Has. Penelit. dan Karya Ilm. dalam Bid. Tek. Ind. 3, 66. https://doi.org/10.24014/jti.v3i2.5561

Elisatriana, N., Amrina, U., Studi, P., Industri, T., Teknik, F., Buana, U.M., 2019. Menghitung efektifitas mesin XIII, 212–222.

Fam, S.F., Ismail, N., Yanto, H., Prastyo, D.D., Lau, B.P., 2018. Lean manufacturing and overall equipment efficiency (OEE) in paper manufacturing and paper products industry. J. Adv. Manuf. Technol. 12, 461–474.

Hamdy, M.I., Azizi, A., 2017. Analisis Nilai Overall Equipment Effectiveness ( OEE ) pada Mesin Ripple 3, 53–58.

Hasanudin, M., 2020. Analisis Penerapan Total Productive Maintenance Menggunakan Overall Equipment Effectiveness dan Fuzzy Fmea Pada Mesin Extruder di PT Xyz Bogor 1, 53–58.

Kameiswara, R.A., Sulistiyo, A.B., Wawan Gunawan, 2018. Analisa Overall Equipment Effectiveness (OEE) Dalam Mengurangi Six Big Losses Pada Cooling Pump Blower Plant PT. Pabrik Baja Terpadu. J. InTent 1, 67–78.

Mukhlis, A., Ahlaq, S., Cahyadi, D., Handika, F.S., 2017. ANALISA PERAWATAN MESIN PULPER MENGGUNAKAN METODE OVERALL EQUIPMENT EFFECTIVENESS ( OEE ) Bulan Mar-16 Apr-16 May-16 Jun-16 Jul-16 Aug-16 Sep-16 Oct-16 Nov-16 Dec-16 Jan-17 Feb-17 Processed Jam Kerja Planed Loading Breakdown Reject Amount Mesin Downtime T 3, 49–54.

Rachman, T., Nugraha, A.W., 2018. Pengukuran Overall Equipment Effectiveness (OEE) Untuk Perbaikan Proses Manufaktur Mesin Bead Grommet. J. Inovisi 14, 1–11.

Rima Riyanti, Ulinnuha Latifa, Y.S., 2021. Multitek Indonesia : Jurnal Ilmiah 6223, 121–130.

Riyanto, A., Rifky, M.I., 2019. Analisis Efektivitas Mesin-Mesin Pembuatan Produk Assp Dengan Menggunakan Metode Overall Equipment Effectiveness Dan Fault Tree Analysis Di Pt. Xyz. Ina. J. Ind. Qual. Eng. 7, 31–39. https://doi.org/10.34010/iqe.v7i2.1856

Rozak, a, Shadrina, a, Rimawan, E., 2019. Kaizenin world class automotive company with reduction of six big lossesin cylinder block machining line in Indonesia. Int. J. Innov. … 4, 339–344.

Septifani, R., Santoso, I., Pahlevi, Z., 2018. Analisis Risiko Produksi Frestea Menggunakan Fuzzy Failure Mode and Effect Analysis ( Fuzzy FMEA ) dan Fuzzy Analytical Hierarchy Process ( Fuzzy AHP ) ( Studi Kasus Di PT . Coca-Cola Bottling Indonesia Bandung Plant ). Pros. Semin. Nas. Penelit. Pengabdi. Pada Masy. 14–21.

Sharma, K.D., Srivastava, S., 2018. Failure Mode and Effect Analysis (FMEA) Implementation: A Literature Review. Copyr. J. Adv. Res. Aeronaut. Sp. Sci. J Adv Res Aero SpaceSci 5, 2454–8669.

Sukwadi, R., Wenehenubun, F., Wenehenubun, T.W., 2017. Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja. J. Rekayasa Sist. Ind. 6, 29. https://doi.org/10.26593/jrsi.v6i1.2425.29-38

Suliantoro, H., Susanto, N., Prastawa, H., Sihombing, I., Mustikasari, A., 2017. Penerapan Metode Overall Equipment Effectiveness (Oee) Dan Fault Tree Analysis (Fta) Untuk Mengukur Efektifitas Mesin Reng. J@ti Undip J. Tek. Ind. 12, 105. https://doi.org/10.14710/jati.12.2.105-118

Sultoni, A., Saroso, D.S., 2019. Peningkatan nilai OEE pada mesin printing kaca film menggunakan metode FMEA dan TPM. Oper. Excell. J. Appl. Ind. Eng. 11, 131. https://doi.org/10.22441/oe.v11.2.2019.022

Sutoni, A., Setyawan, W., Munandar, T., 2019. Total Productive Maintenance (TPM) Analysis on Lathe Machines using the Overall Equipment Effectiveness Method and Six Big Losses. J. Phys. Conf. Ser. 1179. https://doi.org/10.1088/1742-6596/1179/1/012089