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Record W2109939148

Analisis Penyebab Kegagalan (Breakdown) untuk Penerapan Reliability Centered Maintenance (RCM) pada Mesin Cut Off di PT XYZ

2015· article· id· W2109939148 on OpenAlex
Balgis Inayah

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Ilmiah Universitas Bakrie · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFault tree analysisPhysicsOperating systemReliability engineeringComputer scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk melakukan penerapan Reliability Centered Maintenance (RCM) pada mesin cut off dalam proses pembuatan pipa. RCM sendiri merupakan konsep dasar pemeliharaan yang berfokus pada keandalan mesin yang didalamnya menggunakan Failure Mode and Effect Analysis (FMEA) dan Logic Tree Analysis (LTA) untuk mengetahui komponen rusak pada mesin dan penyebab kerusakannya serta usulan perbaikan terhadap kerusakan mesin. Sebelumnya, perhitungan Overall Equipment Effectiveness (OEE) dilakukan untuk mengetahui tingkat efektivitas mesin dan nilai OEE yang diperoleh adalah 16.75%. Pehitungan reliabilitas juga dilakukan sebagai dasar untuk menganalisis penyebab kerusakan pada mesin dan nilai reliabilitas yang diperoleh adalah 39.68%. Dari hasil FMEA diketahui sepuluh komponen kritis pada mesin cut off diantaranya: gearbox , limit switch , rantai, adjuster pisau, feeding wheel , CLM, cylinder feeding , guide rail , sliding block set , dan measuring wheel . Komponen kritis tersebut didapat berdasarkan perhitungan Risk Priority Number (RPN). Hasil dari LTA menunjukkan bahwa mode kerusakan yang terjadi pada setiap komponen kritis masuk ke dalan kategori B ( outage problem ). Kerusakan yang terjadi banyak disebabkan oleh penggunaan komponen yang melewati lifetime -nya. Usulan tindakan perbaikan yang diberikan berupa penjadwalan penggantian komponen yang baru, pembersihan dan pengecekan rutin terhadap mesin sebelum dan sesudah proses produksi dilakukan. Kata Kunci: RCM, OEE, reliabilitas, FMEA, RPN, LTA This study aims to perform the application of Reliability Centered Maintenance (RCM) on cut off machine in pipe manufacturing process . RCM itself is a basic concept of maintenance that focuses on reliability of machine which includes using Failure Mode and Effect Analysis (FMEA) and Logic Tree Analysis (LTA) to determine the damaged components and their failure causes and proposed improvement actions. Previously, the calculation of the Overall Equipment Effectiveness (OEE) was conducted to determine the effectiveness of machine and OEE value obtained is 16.75%. Calculation of reliability was also performed as a basic for analyzing the causes of machine failure and reliability value obtained is 39.68%. The FMEA results revealed ten critical components of cut off machine such as gearbox, limit switch, chain, knive adjuster, feeding wheel, CLM, cylinder feeding, guide rail, sliding block ses, and measuring wheel. Critical components was determined by the calculation of Risk Priority Number (RPN). Results of LTA showed failure modes that occur in every critical component merge into category B (outage problem). Failures that occur mostly caused by the use of components that pass over its lifetime. Proposed corrective actions are routine scheduling for new components replacement, cleaning and checking the machine before and after the production process. Keywords : RCM , OEE , reliability , FMEA , RPN , LTA Daftar Pustaka Asisco, H., Amar, K., & Perdana, Y. R. (2012). Usulan Perencanaan Perawatan Mesin dengan Metode RCM Di PT Perkebunan Nusantara VII (Persero) Unit Usaha Sungai Niru Kab Muara Enim. Kaunia, Vol. VIII, No 2 , 78-98. Baluch, N., Abdullah, C. B., & Mohtar, S. (2010). Maintenance Management Performance – An Overview towards Evaluating Malaysian Palm Oil Mill. The Asian Journal of Technology Management , 1-5. Ebeling, C. E. (1997). An Introduction to Reliability and Maintainability Engineering. Singapore: McGraw-Hill. Ebrahimi, A. (2010). Effect Analysis of Reliability, Availability, Maintainability andSafet (RAMS) Parameters in Design and Operation of Dynamic Positioning (DP) Systems in Floating Offshore Structures. Stockholm: KTH, Royal Institute of Technology. Gulati, R. (2013). Maintenance And Reliability Best Practices. New York: Industrial Press, Inc. Hinggis, L. R., & Mobley, K. (2002). Maintenance Engineering Handbook. McGraw-Hill. Krishnamoorti, K. S. (1992). Reliability Methods For Engineers. Milwaukee, Wisconsin: ASQC Quality Press. Lewis, E. E. (1996). Introduction To Reliability Engineering. Canada: John Wiley & Sons, Inc. Lipol, L. S., & Haq, J. (2011). Risk Analysis Method: FMEA/FMECA in the Organizations. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol:11 No: 05 , 1-9. Muchiri, P., Pintelon, L., Gelders, L., & Martin, H. (2010). Development of Maintenance Function Performance Measurement Framework and Indicators. International Journal Production Economics , 1-8. Nakajima, S. (1988). Introduction to Total Productive Maintenance (TPM). Cambridge: Productivity Press Inc. Reliability Basics: Basic Concepts of FMEA and FMECA . (2004). Retrieved February 19, 2015, from weibull: http://www.weibull.com/hotwire/issue46/relbasics46.htm Samad, M. A., Hossain, R. M., & Asrafuzzaman, M. (2012). Analysis of Performance by Overall Equipment Effectiveness of the CNC Cutting Section of a Shipyard. ARPN Journal of Science and Technology , 1091-1096. Smith, R., & Mobley, R. K. (2011). Rules of Thumb for Maintenance and Reliability Engineers. Butterworth-Heinemann. Sower, V. E. (2011). Essentials Of Quality. Hoboken: John Wiley & Sons, Inc. . Stephens, M. P. (2003). Productivity and Reliability - Based Maintenance Management. Prenctice Hall. Swanson, L. (1997). An Empirical Study of the Relationship between Production Technology and Maintenance Management. International Journal of Production Economics 53 (2) , 191-207. Wahyudi, D., Wildan, M. W., Purwanto, P. T., & Murti, K. S. (2010). Analisis Perawatan Unit Pembangkitan Gresik Unit III dengan Metode RCM. Seminar Nasional VI SDM Teknologi Nuklir , 423-432.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.004
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.217
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it