Upaya Peningkatan Productivity Mesin Extrusion 2500 Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Six Big Losses Studi Kasus PT XYZ

Arif Nuryono, S.T., M.T., Alloysius Vendhi Prasmoro, S.T., M.T, Gusti Andhika Aji
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The purpose of this study is to reduce the downtime value of the extrusion machine using the OEE method (overall equipment effectiveness), to increase the productivity of the extrusion machine 2500 from the results of the analysis of six big losses and identify the main causes of downtime of the extrusion 2500 machine. The results show that the OEE value of the extrusion machine. 2500 by 45. 61% where this value is still below the ideal OEE average standard, namely 85%. The main cause of downtime is due to seven factors that dominate the causes of downtime, namely log heater 2230 minutes with 11 events, puller 1740 minutes with 11 events, dummi block 1390 with 4 events, loader 710 minutes with 4 events, finish cut 540 minutes with 3 events, stem 450 minutes with 2 events, 360 minutes table with 1 event. Based on the results of the calculation of six big losses, the results of downtime values: equipment failure losses 3,81%, setup and adjustment losses 3,95%, speed losses: idle and minor stoppage 3,03%, reduced speed losses 46,51, quality losses: defect losses 0,13%, reduced yield 0 %. The recommendation for improvement is to conduct special training, give warnings to operators who are not disciplined.\nReference:\nAhuja, I. P. S., Khamba, J. S. (2008). Total Productive Maintenance Literature Review and Directions. International Journal of Quality and Reliability Management, 25 (7), 709-756.\nAtmaja, L. T., Supriyadi, E., & Utaminingsih, S. (2018). Analisis Efektivitas Mesin Pressing Ph-1400 Dengan Metode Overall Equipment Effectiveness ( Oee ) Di Pt . Surya Siam Keramik. 1.\nAnggraini, M., Widya, M. W., Edy, K. F. B. (2017). Implementasi Metode Overall Equipment Effectiveness Dalam Menentukan Produktivitas Mesin Rotary Car Dumper. Seminar dan Konferensi Nasional IDEC 2017, 1 (1), 78-87.\nHadi, S. (2019). Perawatan Dan Perbaikan Mesin Industri. Yogyakarta: Andi.\nHamdy, I. M., Azizi, A. (2017). Analisis Nilai Overall Equipment Effectiveness (OEE) Pada Mesin Ripple Mill. Jurnal Hasil Penelitian dan Karya Ilmiah Dalam Bidang Industri, 3 (1), 53-58.\nHamid, A., & Purnomo, S. A. (2018). Analisa Efektivitas Kinerja Mesin Turning Star SB-16 Dengan Metode Total Productive Maintenance ( TPM ) di PT Mitsuba Indonesia Dosen Teknik Industri Universitas Pamulang. Jitmi, 1 (1), 50 - 63.\nHazmi, M. F., Juniani, A. I., Budiyantoro, E. N. (2017). Analisis Perhitungan OEE Dan Six Big Losses Terhadap Produktivitas Mesin Bottomer Line 4 PT. IKSG Tuban. Jurnal Conference on Safety Engineering and Application, 1 (1), 161-166.\nHeru, W., Ferdiansyah, F. (2018). Analisis Efektifitas Mesin Roughing Mill dengan Metode Overall Equipment Effectiveness (OEE). Jurnal Industri Manufacturing, 3 (2), 67-78.\nJannah, R. M., Supriyadi., Nalhadi, A. (2017). Analisis Efektivitas Pada Mesin Centrifugal Dengan Menggunakan Metode Overall Equipment Effectiveness (OEE). Seminar Nasional Riset Terapan, 1 (1), 170-175.\nKarismawan, F. (2015). Pengukuran Kinerja Mesin Perusahaan Menggunakan Overall Equipment Effectiveness dan Usulan Perbaikan Menggunakan Diagram Sebab Akibat (Fish Bone) Pada CV. Jati Makmur Pasuruan. Jurnal Manajemen Teori dan Terapan, 1 (2), 107-115.\nKholil, M., Maulidina, A. D., Rimawan, E. (2016).Analisa Total Productive Maintenance Terhadap Produktivitas Kapal Armada Menggunakan Metode Overall Equipment Effectiveness pada PT. Global Trans Energy International. Jurnal of Industrial Engineering and Management Systems, 9 (1), 1-18.\nKholisdiantoro, S. (2016). Usulan Perbaikan Untuk Peningkatan Efektivitas Kinerja Mesin Crusher di Incinerator 2 Dengan Metode Overall Equipment Effectiveness. Teknik Industri. Universitas Bhayangkara Jakarta Raya.\nRahmadhani, D. F., Taroepratjeka, H., & Fitria, L. (2014). Usulan Peningkatan Efektivitas Mesin Cetak Manual Menggunakan Metode Overall Equipment Effectiveness (OEE) (Studi Kasus Di Perusahaan Kerupuk TTN). Jurnal Online Institut Teknologi Nasional, 2 (4), 156 –165.\nSoemohadiwidjojo, A. T. (2017). Six Sigma metode pengukuran kinerja perusahaan berbasis statistik. Jakarta: Raih asa sukses (RAS).\nSuwardiyanto, P., Siregar, D., Umar, D. (2020). Analisis Perhitungan OEE dan Menentukan Six Big Losses pada Mesin Spot Welding Tipe X. Journal of Industrial and Engineering Sistem, 1 (1), 11-20.\n ","PeriodicalId":192894,"journal":{"name":"JURNAL BHARA PETRO ENERGI","volume":"214 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JURNAL BHARA PETRO ENERGI","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31599/bpe.v1i3.1738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

PT. XYZ is engaged in manufacturing in making aluminum profile products during the last one year period. XYZ company did not reach its production target by an average of 6.24%. As for the reasons why the production target did not reach the target, one of them was due to the high downtime of the extrusion machine 2500 which exceeded the company standard, namely 7800 minutes per year, the downtime of the extrusion machine 2500 in the last year was 9807 minutes. The purpose of this study is to reduce the downtime value of the extrusion machine using the OEE method (overall equipment effectiveness), to increase the productivity of the extrusion machine 2500 from the results of the analysis of six big losses and identify the main causes of downtime of the extrusion 2500 machine. The results show that the OEE value of the extrusion machine. 2500 by 45. 61% where this value is still below the ideal OEE average standard, namely 85%. The main cause of downtime is due to seven factors that dominate the causes of downtime, namely log heater 2230 minutes with 11 events, puller 1740 minutes with 11 events, dummi block 1390 with 4 events, loader 710 minutes with 4 events, finish cut 540 minutes with 3 events, stem 450 minutes with 2 events, 360 minutes table with 1 event. Based on the results of the calculation of six big losses, the results of downtime values: equipment failure losses 3,81%, setup and adjustment losses 3,95%, speed losses: idle and minor stoppage 3,03%, reduced speed losses 46,51, quality losses: defect losses 0,13%, reduced yield 0 %. The recommendation for improvement is to conduct special training, give warnings to operators who are not disciplined. Reference: Ahuja, I. P. S., Khamba, J. S. (2008). Total Productive Maintenance Literature Review and Directions. International Journal of Quality and Reliability Management, 25 (7), 709-756. Atmaja, L. T., Supriyadi, E., & Utaminingsih, S. (2018). Analisis Efektivitas Mesin Pressing Ph-1400 Dengan Metode Overall Equipment Effectiveness ( Oee ) Di Pt . Surya Siam Keramik. 1. Anggraini, M., Widya, M. W., Edy, K. F. B. (2017). Implementasi Metode Overall Equipment Effectiveness Dalam Menentukan Produktivitas Mesin Rotary Car Dumper. Seminar dan Konferensi Nasional IDEC 2017, 1 (1), 78-87. Hadi, S. (2019). Perawatan Dan Perbaikan Mesin Industri. Yogyakarta: Andi. Hamdy, I. M., Azizi, A. (2017). Analisis Nilai Overall Equipment Effectiveness (OEE) Pada Mesin Ripple Mill. Jurnal Hasil Penelitian dan Karya Ilmiah Dalam Bidang Industri, 3 (1), 53-58. Hamid, A., & Purnomo, S. A. (2018). Analisa Efektivitas Kinerja Mesin Turning Star SB-16 Dengan Metode Total Productive Maintenance ( TPM ) di PT Mitsuba Indonesia Dosen Teknik Industri Universitas Pamulang. Jitmi, 1 (1), 50 - 63. Hazmi, M. F., Juniani, A. I., Budiyantoro, E. N. (2017). Analisis Perhitungan OEE Dan Six Big Losses Terhadap Produktivitas Mesin Bottomer Line 4 PT. IKSG Tuban. Jurnal Conference on Safety Engineering and Application, 1 (1), 161-166. Heru, W., Ferdiansyah, F. (2018). Analisis Efektifitas Mesin Roughing Mill dengan Metode Overall Equipment Effectiveness (OEE). Jurnal Industri Manufacturing, 3 (2), 67-78. Jannah, R. M., Supriyadi., Nalhadi, A. (2017). Analisis Efektivitas Pada Mesin Centrifugal Dengan Menggunakan Metode Overall Equipment Effectiveness (OEE). Seminar Nasional Riset Terapan, 1 (1), 170-175. Karismawan, F. (2015). Pengukuran Kinerja Mesin Perusahaan Menggunakan Overall Equipment Effectiveness dan Usulan Perbaikan Menggunakan Diagram Sebab Akibat (Fish Bone) Pada CV. Jati Makmur Pasuruan. Jurnal Manajemen Teori dan Terapan, 1 (2), 107-115. Kholil, M., Maulidina, A. D., Rimawan, E. (2016).Analisa Total Productive Maintenance Terhadap Produktivitas Kapal Armada Menggunakan Metode Overall Equipment Effectiveness pada PT. Global Trans Energy International. Jurnal of Industrial Engineering and Management Systems, 9 (1), 1-18. Kholisdiantoro, S. (2016). Usulan Perbaikan Untuk Peningkatan Efektivitas Kinerja Mesin Crusher di Incinerator 2 Dengan Metode Overall Equipment Effectiveness. Teknik Industri. Universitas Bhayangkara Jakarta Raya. Rahmadhani, D. F., Taroepratjeka, H., & Fitria, L. (2014). Usulan Peningkatan Efektivitas Mesin Cetak Manual Menggunakan Metode Overall Equipment Effectiveness (OEE) (Studi Kasus Di Perusahaan Kerupuk TTN). Jurnal Online Institut Teknologi Nasional, 2 (4), 156 –165. Soemohadiwidjojo, A. T. (2017). Six Sigma metode pengukuran kinerja perusahaan berbasis statistik. Jakarta: Raih asa sukses (RAS). Suwardiyanto, P., Siregar, D., Umar, D. (2020). Analisis Perhitungan OEE dan Menentukan Six Big Losses pada Mesin Spot Welding Tipe X. Journal of Industrial and Engineering Sistem, 1 (1), 11-20.  
PT. XYZ在过去的一年里从事铝型材产品的制造。XYZ公司平均没有达到6.24%的生产目标。至于生产目标没有达到的原因,其中一个原因是挤出机2500的停机时间超过了公司的标准,即每年7800分钟,去年挤出机2500的停机时间为9807分钟。本研究的目的是利用OEE方法(整体设备有效性)降低挤出机的停机值,从六大损失分析的结果中提高挤出机2500的生产率,并找出挤出机2500停机的主要原因。结果表明:挤压机的OEE值。2500乘45。61%,该值仍低于理想的OEE平均标准,即85%。造成停机的主要原因是7个因素,即原木加热器2230分钟11个事件,拉拔机1740分钟11个事件,dummi block 1390分钟4个事件,装载机710分钟4个事件,完切机540分钟3个事件,干杆450分钟2个事件,360分钟表1个事件。根据计算结果计算出六大损失,结果停机值为:设备故障损失3.81%,设置和调整损失3.95%,速度损失:闲置和小停机损失3.03%,减少速度损失46.51%,质量损失:缺陷损失0.13%,降低成品率0%。改进建议是进行特殊培训,对不守纪律的操作人员进行警告。参考文献:Ahuja, i.p.s., Khamba, j.s.(2008)。全面生产维护文献综述和方向。质量与可靠性管理,25(7),709-756。Atmaja, L. T., Supriyadi, E., & Utaminingsih, S.(2018)。压力机Ph-1400效能分析邓安法整体设备效能(Oee)Surya Siam Keramik。Anggraini, M., Widya, M. W., Edy, k.f.b.(2017)。实施方法整体设备效率Dalam Menentukan生产活动Mesin旋转式翻车机。中国电子工程学报,2017,31(1),78-87。哈迪,S.(2019)。Perawatan Dan Perbaikan Mesin industrii。日惹:安迪。Hamdy, i.m., Azizi, A.(2017)。帕达梅辛波纹轧机整体设备效率(OEE)分析。[j] .工业机械学报,2016,31(1),53-58。Hamid, A., & Purnomo, S.(2018)。日本三菱印尼工业技术大学帕木朗分校生产的全生产维护方法(TPM)。地理学报,1(1),50 - 63。哈兹米,M. F.,朱尼尼,A. I.,布迪扬托罗,E. N.(2017)。分析Perhitungan OEE和六大亏损对生产活动的影响,在底线4 PT. IKSG Tuban。安全工程与应用学报,1(1),161-166。何鲁,吴文华,费迪安,(2018)。粗轧机整体设备效率(OEE)分析工业制造学报,3(2),67-78。Jannah, r.m., Supriyadi。(2017)。登安蒙古纳坎方法整体设备效率分析。中国农业科学,1(1),170-175。Karismawan, F.(2015)。企鹅Kinerja Mesin Perusahaan Menggunakan整体装备效率dan Usulan Perbaikan Menggunakan图表Sebab Akibat(鱼骨)Pada CV。Jati Makmur Pasuruan。管理学报,1(2),107-115。Kholil, M., Maulidina, A. D., Rimawan, E.(2016)。全生产维护系统,生产活动,卡帕尔舰队,蒙古纳坎方法,整体设备效率,PT,环球能源国际。工业工程与管理系统,9(1),1-18。Kholisdiantoro, S.(2016)。乌苏兰Perbaikan Untuk Peningkatan Efektivitas Kinerja Mesin粉碎机和焚烧炉2登干方法整体设备效率。Teknik Industri。雅加达大学。Rahmadhani, D. F, Taroepratjeka, H., & Fitria, L.(2014)。乌苏兰·彭宁卡坦效率管理手册《孟古纳坎方法整体设备效率(OEE)》(Studi Kasus Di Perusahaan Kerupuk TTN)。网络技术学报,2(4),156 -165。Soemohadiwidjojo, a.t.(2017)。六西格玛方法是基于统计的。雅加达:rah asa sukses (RAS)。Suwardiyanto, P., Siregar, D., Umar, D.(2020)。Perhitungan OEE与Menentukan六种大损耗点焊分析[j] .工业与工程系统学报,1(1),11-20。
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