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Proposed Maintenance Policy Design on Paving Molding Machine Using Reliability and Risk Centered Maintenance (RRCM) Method at PT XYZ I Gede Oka Mahendra; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
OPSI Vol 14, No 2 (2021): ISSN 1693-2102
Publisher : Jurusan Teknik Industri Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v14i2.5477

PT. XYZ is a company engaged in construction and manufacturing. The company focuses on paving production. Where there is a problem with paving printing machines in carrying out production, there are many productions that do not reach the target or the production process does not run optimally. The purpose of this study is to find out the performance of paving molding machines, especially in the components that most often experience damage to paving molding machines. Based on historical data on machine damage, a paving molding machine is a machine that has had the highest frequency of damage for 5 years, because this machine operates continuously to meet production targets and paving demand from customers. Reliability and Risk Centered Maintenance (RRCM) methods to be used to analyze a historical engine malfunction. The results obtained in the form of 7 proposed maintenance tasks are 2 scheduled on-condition tasks, 3 scheduled restoration tasks, 2 scheduled waste tasks. In addition, the average maintenance time interval for pillow blocks is 7 months, iron molding is 11 months, and chain is 4 months. The total cost of proposed maintenance is lower than IDR 52,938,750 or 41.7% compared to the existing maintenance cost of PT. XYZ. The development of this research is to increase the application of RCM as a basis for maintaining the balance between preventive maintenance and corrective maintenance while optimizing maintenance costs to improve engine reliability by considering risk factors as an analysis.

PENERAPAN METODE RELIABILITY AND RISK CENTERED MAINTENANCE (RRCM) UNTUK USULAN KEBIJAKAN MAINTENANCE MESIN INJEKSI PLASTIK (STUDI KASUS PADA CV. XYZ) Liza Nafiah Maulidina; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 13, No 3 (2019): Jurnal PASTI
Publisher : Universitas Mercu Buana

CV. XYZ merupakan perusahaan yang menyediakan jasa jig, dies, mold, dan sparepart terutama pada mold product dan injeksi plastik. Salah satu peralatan yang dibutuhkan untuk menunjang kegiatan usaha CV. XYZ adalah mesin injeksi plastik. Mesin injeksi plastik merupakan mesin yang digunakan oleh CV. XYZ untuk produksi dan memenuhui pesanan yang diminta sehingga mesin injeksi plastik ini beroperasi selama 24 jam terus menerus. Dalam menentukan komponen kritis dari mesin injeksi plastik, pada penelitian ini menggunakan Risk Matrix dan terpilih tiga komponen yaitu selang hidrolik, barrel dan motor. Menggunakan metode RRCM maka didapatkan kebijakan maintenance dan total biaya maintenance-nya. Berdasarkan hasil pengumpulan dan pengolahan data, maka didapatkan hasil bahwa terdapat 7 proposed maintenance task dengan 3 scheduled on-condition task, 4 scheduled restoration task dengan interval waktu rata-rata maintenance adalah dua bulan. Total biaya maintenance usulan sebesar Rp 91,595,318 dimana biaya tersebut lebih kecil Rp 10,177,258 dibandingkan dengan biaya maintenance eksisting perusahaan.

PENILAIAN KINERJA BERBASIS RELIABILITY MENGGUNAKAN METODE COST OF UNRELIABILITY (COUR) PADA MESIN FILLOMATIC ROTARY LIQUID FILLER & CAPPER DI PT XYZ Pebrina Donna Izzaqi; Judi Alhilman; Aji Pamoso
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 13, No 2 (2019): Jurnal PASTI
Publisher : Universitas Mercu Buana

PT XYZ adalah perusahaan farmasi di Indonesia yang memproduksi obat batuk. Salah satu mesin yang digunakan pada proses pembuatan obat tersebut adalah Mesin Fillomatic Rotary Liquid Filler & Capper untuk proses filling dan capping. Mesin tersebut mengalami masalah kegagalan, dimana terjadi 41 kali kerusakan pada Januari-Desember 2018. Oleh karena itu, perlu untuk menjaga keandalan mesin yang digunakan. Risk matrix digunakan untuk menentukan sistem serta subsistem kritis dan didapatkan subsistem kritis yaitu conveyor, center plate, capper dan star wheel. Penelitian berfokus pada keempat subsistem tersebut menggunakan Cost of Unreliability (COUR) untuk mengetahui kerugian perusahaan saat sistem mengalami kegagalan. Dari hasil perhitungan COUR, didapatkan nilai corrective money lost sebesar Rp14.260.567.697,19 dan downtime money lost sebesar Rp33.112.418.213,73. Setelah diketahui besarnya nilai COUR digunakan business risk matrix untuk mengetahui konsekuensi bisnis perusahaan, keempat subsistem tersebut masuk kedalam area gelap yang artinya perlu dilakukan perbaikan lebih lanjut untuk mengurangi konsekuensi yang tinggi.

PENERAPAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) PADA PERENCANAAN INTERVAL PREVENTIVE MAINTENANCE DAN ESTIMASI BIAYA PEMELIHARAAN MENGGUNAKAN ANALISIS FMECA ( STUDI KASUS : PT. XYZ ) Wirda Hamro Afiva; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 13, No 3 (2019): Jurnal PASTI
Publisher : Universitas Mercu Buana

PT. XYZ merupakan perusahaan yang bergerak dibidang produksi spare part dan aksesoris otomotif khusunya sepeda motor. Permasalahan yang dihadapi perusahaan yaitu sering terjadinya kerusakan pada mesin CNC Milling A dengan jumlah kerusakan 32 kali selama tahun 2017 hingga 2018. Perusahaan menerapkan kegiatan preventive maintenance dan corrective maintenance namun kegiatan maintenance ini tidak berjalan dengan optimal. Oleh karena itu, dilakukan pengembangan sistem pemeliharaan untuk meningkatkan keandalan mesin. Metode yang digunakan yaitu Reliability Centered Maintenance (RCM) dengan tujuan menentukan interval waktu pemeliharaan dan estimasi biaya pemeliharaan yang efisien. RCM dilakukan dengan menganalisis kegagalan dengan analisis FMECA. Hasil dari analisis ini berupa nilai RPN yang menunjukkan komponen bearing rel, bearing spindle dan selang sebagai komponen kritis pada sistem. Kemudian ditentukan kebijakan maintenance dengan hasil 2 scheduled on-condition task, 2 scheduled restoration dan 2 scheduled discard task dengan interval waktu maintenance sesuai dengan kategori task. Melalui metode RCM, PT.XYZ dapat menghemat biaya pemeliharaan sebesar Rp. 51.800.331

Pengukuran dan analisa efektivitas mesin pencetak paving menggunakan metode overall equipment effectiveness (OEE) Indira Kusuma Wardani; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
Journal Industrial Servicess Vol 7, No 1 (2021): Oktober 2021
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v7i1.12336

Machine effectiveness is one of the important factors in the production process in a manufacturing company to produce goods. The paving molding machine is one of the machines used to produce black paving at PT XYZ. Based on historical data from the Engineering Maintenance Department, this machine has the highest breakdown frequency which has an impact on the low effectiveness and productivity of the machine. To overcome this problem, an analysis of the effectiveness of the paving molding machine was carried out using the Overall Equipment Effectiveness (OEE) method. OEE aims to analyze machine indicators, which consist of machine availability, performance efficiency, and the quality level of the machine's production. The results of the OEE analysis show that the value of the paving molding machine is 68.18% and is still below the Japan Institute of Plant Maintenance standard of 85%. Six Big Losses is used to determine the low OEE value arising from the production process, on the paving molding machine. From the results of the analysis, two dominant loss factors have the most influence on the effectiveness of the paving molding machine, namely the high value of reduced speed loss (51.92%) and idling and minor stoppages loss (23.69%). These two dominant loss factors are then analyzed using a fishbone diagram to obtain the root causes and proposed solutions.

An Autonomous Maintenance Design Based on Overall Resource Effectiveness (ORE) Analysis: A Case Study of Paving Molding Machine Indira Kusuma Wardani; Fransiskus Tatas Dwi Atmaji; Judi Alhilman
Jurnal Ilmiah Teknik Industri Vol. 20, No. 2, December 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i2.15627

The paving molding machine is one of the machines used to produce black paving at PT XYZ. Based on the historical data from the engineering maintenance department, this machine has the highest breakdown frequency which affected the low performance and productivity of the machine. To solve this problem, the effectiveness of the paving molding machine was analyzed using overall resource effectiveness (ORE) methods. ORE aims to analyze machine indicators, consisting of readiness, availability of the facility, changeover efficiency, availability of material, availability of manpower, performance efficiency, and quality rate. The ORE analyzed result shows that values of performance efficiency of paving molding machine were 64.54% and still below the standards of the ORE. To increase the ORE, a design of autonomous maintenance (AM) was proposed. The proposed design means the operator is given the responsibility to maintain the basic condition of the machine to minimize the damage of the paving molding machine at PT XYZ. The result of ORE analysis, especially in the performance efficiency, will be an input for the engineering maintenance department to make an AM basic design that can be executed by each of the machine's operators. In general, this research’s novelty is to combine the application of the ORE method with the AM basic design, whereas the AM is one of the pillars of total productive maintenance (TPM).

Performance Assessment Based on Reliability of Weaving M251 Machine Using Reliability, Availability & Maintainability (RAM) and Cost of Unreliability (COUR) Methods (Case Study at PT Buana Intan Gemilang) Devi Julietta Nainggolan; Judi Alhilman; Nurdinintya Athari Supratman
International Journal of Innovation in Enterprise System Vol 1 No 01 (2017): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v1i01.5

The textile industry is one of industries that has an important role in the national economy. PT Buana Intan Gemilang (BIG) is one of textile industry in Indonesia which uses Weaving machine to produce motif and sajadah fabrics. The purpose of this research is to analyze the reliability of Weaving M251 machine that has the most damage in 2014. To avoid losses due to machine damage, the reliability, availability and maintainability of the machine need to be improved by using Reliability, Availability & Maintainability (RAM) Analysis method. In addition, the total cost caused by RAM problems can be calculated by using Cost of Unreliability (COUR) method. Based on the evaluation using Reliability Block Diagram (RBD) modeling, it is found that the critical subsystem reliability = 44.36% for 144 working hours and the total repair time that the critical subsystem needs to perform in acceptable operational condition , at least in 1 to 70 hours. There are two different forms of availability that have been calculated, therefore inherent availability = 95,546% which is used as leading indicator, and operational availability = 85,572% which used as lagging indicator. as it is compared, lagging indicator does not meet the performance of leading indicator. The total of unreliability cost when the machine is in active repair time = 39,580,689.02 IDR and within downtime = 135,588,452.13 IDR. Keywords—Cost of Unreliability (COUR), Lagging Indicator, Leading Indicator, Reliability, Availability & Maintainability (RAM) Analysis.

Performance Evaluation on Printing Machine Goss Universal Using Reliability Availability Maintainability (RAM) Analysis and Overall Equipment Effectiveness (OEE) Muhammad Tamami Dwi Saputra; Judi Alhilman; Nurdinintya Athari
International Journal of Innovation in Enterprise System Vol 1 No 01 (2017): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v1i01.10

The development of science and technology that has been developed more rapidly at this time, along with the increasing need for information itself. By producing a newspaper every day then the states forced PT Pikiran Rakyat to further improve the smoothness, the effectiveness and efficiency of the printing. One way to measure the performance of machines in general by using OEE and to minimize the possibility of losses to be borne by the company is improving the Reliability, Availability and Maintainability (RAM). By using the data in the form of MTTF (Main Time to Failure) and MTTR (Main Time To Repair) of each subsystem of the printing press. Based on calculations using the method of Overall Equipment Effectiveness, by performing calculations based on three main parameters with a study for eight months or 5760 hours, show that the value of the Availability of 75%, the value of the Performance of 97%, and the value of Quality by 98%, then the system has OEE values of 71.60%. The system has a reliability score of 10.59% at 70 hours based on the analytical approach. Maintainability calculations using modeling reliability block diagram, it is found that the entire unit in the system has a chance to settle down a minimum of 12 hours to be able to function again with a probability of 100% to reach its original state. During the eight-month study, Inherent Availability of the system is 99.52% based on analytical approach and Operational Availability of the system is 73.91%. Keywords—Reliability, Availability, Maintainability, OEE, MTTF, MTTR

Proposed Policy Preventive Maintenance Machine Moriseiki NH 4000 DCG Method of Reliability Center Maintenance (RCM) And Risk Based Maintenance (RBM) Case Study PT Pudak Scientific Fachri Husaini; Judi Alhilman; Nurdinintya Athari
International Journal of Innovation in Enterprise System Vol 2 No 02 (2018): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v2i02.20

PT Pudak Scientific is a company engaged in the manufacture of aircraft parts industry. Meeting the precise and timely demand of aerospace parts from customers becomes a major corporate responsibility. However, Loss Revenue often occurs due to engine breakdown. So that cause because the production target is not achieved, the product reject, and the delay of delivery. One of the machines that often experience breakdown is Mori seiki NH4000 DCG. Mori seiki NH4000 DCG is the finishing machine for Blank fork End product. The demand for this part is quite large, making it a tough task for the Mori Seiki NH4000 DCG machine. But because the breakdown of the machine is high enough to cause production targets every month are often not met. In addition, Maintenance activities that have not noticed the characteristics of engine damage, as well as the distribution of historical data of the machine causing less effective and efficient actions resulted in substantial Maintenance costs. Based on the results of risk analysis of Mori Seiki NH4000 DCG engine damage, in terms of performance loss system caused by a large enough that is 3.773% of machine production capacity per year. This figure exceeds the risk acceptance criteria by the company that is 2%. Therefore it is necessary to find the appropriate Maintenance policy for the Mori Seiki NH4000 DCG machine. The approach is to use Reliability Centeres Maintenance and Risk Based Maintenance. Based on the above two approaches obtained the appropriate interval time so that the Maintenance activities more effective and can improve the efficiency of treatment by reducing the cost of care previously Rp167.506.286, - per year, to Rp 96.147.061, - per year. With the policy is expected to reduce engine breakdown and performance loss caused. So the number of risks that arise for the future are within the criteria of acceptance set by the company. Keywords: Preventive Maintenance, Reliability centered Maintenance, risk based Maintenance, Performance loss

Maintenance System of Universal Goss Printing Machine based on failure data using RCM and RCS method Judi Alhilman; Fransiskus Tatas Dwi Atmaji; Valinouski Aulia
International Journal of Innovation in Enterprise System Vol 2 No 02 (2018): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v2i02.26

Over time a machine will get experience a decrease in reliability, causing the engine to be damaged at the time of operation, thus disrupting the production line. To maintain a machine remains reliable then a good maintenance system is required. In this research, we will use Reliability Centered Maintenance (RCM) and Reliability Centered Spare (RCS) analysis on the critical system of Goss Universal printing machine based on engine failure data. The result of RCM analysis obtained the optimal preventive maintenance schedule and the type of treatment, while based on the RCS analysis obtained spare part needs following the maintenance schedule. With the result of this analysis, is expected where the machine will keep good and will continue to operate without a sudden breakdown under the production schedule's need. Based on RCM analysis for each critical subsystem obtained interval preventive maintenance for transfer roller 127.60 hours, Ink fountain roller 24.45 hours, ink form roller 29.23 hours respectively, and the wash-up device is no scheduled maintenance. For spare parts inventory strategies the result using RCS method are: transfer roller104 units, ink fountain roller requires 32 units, ink form roller 36 units and are holding spare policy required, and a wash-up device no holding spare parts. Keywords— Failure data, Maintenance System, RCM, RCS

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