Reliability Centered Maintenance - Methodologies

Journal article about Reliability Centered Maintenance (RCM) methodologies used by United Space Alliance, LLC (USA) in support of the Space Shuttle Program at Kennedy Space Center. The USA Reliability Centered Maintenance program differs from traditional RCM programs because various methodologies are utilized to take advantage of their respective strengths for each application. Based on operational experience, USA has customized the traditional RCM methodology into a streamlined lean logic path and has implemented the use of statistical tools to drive the process. USA RCM has integrated many of the L6S tools into both RCM methodologies. The tools utilized in the Measure, Analyze, and Improve phases of a Lean Six Sigma project lend themselves to application in the RCM process. All USA RCM methodologies meet the requirements defined in SAE JA 1011, Evaluation Criteria for Reliability-Centered Maintenance (RCM) Processes. The proposed article explores these methodologies

Planning long-term maintenance for electric vehicle charging infrastructure using the Reliability Centered Maintenance (RCM) method

Electric vehicles (EVs) are mainly known for their advantages as emission free, energy efficient and noiseless transport, but electric mobility has never matured in the automotive market and it remains in the shadow of the internal combustion engine (ICE) vehicles. The EV penetration depends so much on the availability of the charging facilities. The availability and the performances of the charging infrastructure will have a major impact on the satisfaction of electric vehicle drivers and therefore on the future viability and successful of the technology. In this context, maintenance will play a key role to ensure appropriate levels of availability and reliability and also to keep the expensive infrastructure in good conditions for a long time: it will need to have a long and trouble free life, if it is to persuade the typical car user to change his behavior and choices. This paper will provide a long-term maintenance plan, in which the preventive maintenance tasks will be defined based on the Reliability Centered Maintenance (RCM) approach, starting from the definition of the electric vehicle charging infrastructure and explaining how it works and by which components it is constituted

Fault maintenance trees: reliability centered maintenance via statistical model checking

The current trend in infrastructural asset management is towards risk-based (a.k.a. reliability centered) maintenance, promising better performance at lower cost. By maintaining crucial components more intensively than less important ones, dependability increases while costs decrease.\ud \ud This requires good insight into the effect of maintenance on the dependability and associated costs. To gain these insights, we propose a novel framework that integrates fault tree analysis with maintenance. We support a wide range of maintenance procedures and dependability measures, including the system reliability, availability, mean time to failure, as well as the maintenance and failure costs over time, split into different cost components.\ud \ud Technically, our framework is realized via statistical model checking, a state-of-the-art tool for flexible modelling and simulation. Our compositional approach is flexible and extendible. We deploy our framework to two cases from industrial practice: insulated joints, and train compressors

On the role of Prognostics and Health Management in advanced maintenance systems

The advanced use of the Information and Communication Technologies is evolving the way that systems are managed and maintained. A great number of techniques and methods have emerged in the light of these advances allowing to have an accurate and knowledge about the systems’ condition evolution and remaining useful life. The advances are recognized as outcomes of an innovative discipline, nowadays discussed under the term of Prognostics and Health Management (PHM). In order to analyze how maintenance will change by using PHM, a conceptual model is proposed built upon three views. The model highlights: (i) how PHM may impact the definition of maintenance policies; (ii) how PHM fits within the Condition Based Maintenance (CBM) and (iii) how PHM can be integrated into Reliability Centered Maintenance (RCM) programs. The conceptual model is the research finding of this review note and helps to discuss the role of PHM in advanced maintenance systems.EU Framework Programme Horizon 2020, 645733 - Sustain-Owner - H2020-MSCA-RISE-201

Perencanaan Sistem Pemeliharaan Mesin Roller Head dengan Menggunakan Metode Reliability Centered Maintenance II (RCM II) (Studi Kasus di Departmen Maintenance PT. Bando Indonesia)

PT. Bando Indonesia is the company which produce conveyor belt. The company have two departments, v-belt department and conveyor belt department. Based on breakdown data from August 2015 to July 2016, conveyor belt department has higher breakdown percentage than v-belt department. Then, in conveyor belt department, Roller Head machine has highest breakdown frequency. Reliability Centered Maintenance II is one of methods which could use for maintenance act evaluation from each machine components. Implementation from Reliability Centered Maintenance II expected give better maintenance interval so the machine reliability could be better. Based on Critical Priority Number (CPN) score could see if there 5 critical components in roller head machine. The critical components with its CPN score are gear (32), conveyor transfer chain (25), bearing (24), screw (24), and main motor (24). Based on Logic Tree Analysis (LTA) for the 5 critical components, they need to give scheduled discard task activity. Then based on its fault characteristic analysis, the breakdown rate phase tends to increase significantly and need to replace. Based on calculation of maintenance interval time to minimize downtime and minimize maintenance cost (Tc) from each critical component results if maintenance cost each year could decrease Rp. 33.304.864 or 14,51% lower than existing condition

Analisis Penerapan Metode RCM Dan MVSM Untuk Meningkatkan Keandalan Pada Sistem Maintenance (Studi Kasus PG. X)

Maintenance system on milling season is using of preventive and corrective maintenance program. However, implementation of the program is still not guided with adequate SOP (Standart Operation Procedure) especially on a specific areas. Downtime occurring during year 2012 on the season were of 241.83 hours. This impacts to loss of potential profits, labor costs, and production capacity. To cope the problem, the study proposes application of Maintenance Value Stream Mapping (MVSM) supported by Reliability Centered Maintenance method (RCM). RCM consists of FMEA, reliability analysis, and RCM Worksheet. For the reliability analysis this study uses easyfit 5.5 profesional, whereas for the MVSM describes actual activity of the maintenance. Based on the application and analysis, it is known there exist 3 machines that are in critical condition and they show having the highest downtime, namely : Unigrator, cane Carrier I, and Cane Carrier II. The result of this research are SOP for actual activity of maintenance, time interval of maintenance, and tipe of maintenance for the machines

Studi Implementasi RCM untuk Peningkatan Produktivitas Dok Apung (Studi Kasus: PT.Dok dan Perkapalan Surabaya)

Dok apung merupakan salah satu fasilitas galangan yang ada di PT.Dok dan Perkapalan Surabaya, yang terdiri dari dok I,II,IV dan V. Dok apung mempunyai peran yang sangat penting dalam kegiatan reparasi kapal. Oleh karena itu, PT.Dok dan Perkapalan Surabaya melakukan tindakan perawatan untuk menjaga kinerja dok apung. Mengingat begitu pentingnya peran dok apung, maka dilakukan penelitian tindakan dan rencana perawatan yang tepat untuk meningkatkan produktivitas dok apung dengan menggunakan metode RCM. Penelitian dengan metode RCM (Reliability Centered Maintenance) secara umum dibagi menjadi 2 yaitu, secara kualitatif dan secara kuantitatif. Analisa kualitatif terdiri dari FMEA (Failure Mode and Effect Analysis), FTA (Fault Tree Analysis), dan LTA (Logic Tree Analysis). Sedangkan analisa kuantitatif terdiri dari perhitungan MTTF (Mean Time to Failure), MTTR (Mean Time to Repair), penentuan reliability, dan failure rate dengan menggunakan software weibull 6++. Dari hasil analisa kualitatif terdapat 4 komponen MSI (Maintenance Significant Item), yaitu capstan, ponton, crane dan pompa. Dari hasil analisa kuantitatif didapatkan komponen yang memengaruhi reliability dok apung. Reliability yang paling rendah yaitu ponton, pompa, capstan dan crane. Penilaian reliability didasarkan pada akibat yang ditimbulkan dari kerusakan atau kegagalan komponen terhadap sistem, sedangkan nilai MTTF (Mean Time to Failure) paling rendah pada crane dan pompa yaitu 120 dan 150 hari. Secara teoritis, penerapan RCM (Reliability Centered Maintennace) akan meningkatkan keandalan komponen. Tindakan dan rencana perawatan yang disarankan berdasarkan metode RCM (Reliability Centered Maintenance) yaitu melakukan pengecekan secara rutin serta melakukan training pada bagian maintenance mengenai konsep perawatan. Interval maintenance pada crane dan ponton dilakukan setiap 1 bulan sekali, sedangkan interval maintenance pada capstan dan pompa dilakukan setiap 2 bulan sekali

PERENCANAAN SISTEM PERAWATAN MESIN DENGAN MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE (RCM) PADA PT. INDOPHERIN JAYA, PROBOLINGGO

The study aimed to identify the right preventive care for corrective treatment formerly used in the company. When the production process, the breakdown of the production of frequently caused by the production process operating 24 hours, and led to activities in the production process. The company has several: the boiler of a steam engine, thermal oil heater, conveyor, and chiller water. As for the data thesis research needed in this primary data conducted interviews directly with the heads of the technique, operators and mechanics. n its management will be arranged in table containing column function descriptor components and component failure of function, data - this data will be used for analysis Failure Mode and Effect Analysis (FMEA). Based on the result analysis and processing the data was already performed in pt indhoperin jaya, through a failure by both fmea analysis method known components valves expansion and be a failure for the highest of an RPN 162 and 180. Of engineering treatment with rcm keandalannya mengunnakan methods to find, reliability of expansion valves from components originally 36,8 % into 73,6 %. For the reliability of components to be 28,4 % 56,8 %