scholarly journals PENGUJIAN SUHU LEMARI ES DENGAN METODE TERINTEGRASI FUZZYFAILURE MODE AND EFFECT ANALYSIS (FUZZY-FMEA)

2018 ◽  
Vol 18 (1) ◽  
pp. 9
Author(s):  
Tri Widianti ◽  
Himma Firdaus
Keyword(s):  
Failure Mode ◽  
Power Source ◽  
Effect Analysis ◽  
Fuzzy Fmea

Failure Mode and Effect Analysis (FMEA) banyak diimplementasikan untuk analisis risiko baik di bidang manufaktur maupun jasa. Permasalahan yang sering timbul pada implementasi FMEA yaitu sulitnya menentukan peringkat risiko karena kesamaan nilai RPN. Samanya nilai RPN menimbulkan kesulitan bagi pengambil keputusan untuk memprioritisasi risiko yang harus ditindaklanjuti. Logika fuzzy merupakan logika matematis yang dapat digunakan untuk memperbaiki kelemahan FMEA. Sehingga, tujuan penelitian ini adalah integrasi FMEA dengan logika fuzzy sebagai upaya perbaikan terhadap metode FMEA. Tujuan lainnya adalah implementasi  integrasi Fuzzy-FMEA pada lingkup pengujian suhu lemari es. Implementasi Fuzzy-FMEA pada pengujian ini dilakukan sebagai tindakan pencegahan terhadap risiko kegagalan pada pengujian yang dipersyaratkan oleh SNI ISO/IEC 17025:2008. Studi kasus pengujian suhu pada lemari es ini dipilih karena lemari es merupakan salah satu produk yang diwajibkan untuk memperoleh Sertifikat Produk Penggunaan Tanda SNI (SPPT-SNI) yang mengacu pada standar SNI IEC 60335-2-7:2009. Selain itu, penerapan Fuzzy-FMEA pada konteks pengujian sampai saat ini belum ditemukan. Hasil analisis dengan Fuzzy-FMEA menunjukkan bahwa risiko kegagalan paling tinggi pada proses pengujian suhu lemari es paling tinggi terjadi pada mode kegagalan: power source tibatiba shut down dengan nilai RPN 5,8887.

Evaluating the Risk of Failure on Injection Pump Using Fuzzy FMEA Method

2014 ◽  
Vol 657 ◽  
pp. 976-980 ◽  
Author(s):  
Nicoleta Rachieru ◽  
Nadia Belu ◽  
Daniel Constantin Anghel
Keyword(s):  
Failure Mode ◽  
Traditional Method ◽  
Assessment Model ◽  
Risk Level ◽  
Analysis Method ◽  
Effect Analysis ◽  
Pump Design ◽  
Injection Pump ◽  
Fuzzy Fmea ◽  
Fmea Method

This research is aimed at utilizing failure mode and effect analysis (FMEA) which is a reliability analysis method applicable to rotary injection pump design. In traditional FMEA, Risk Priority Number (RPN) ranking system is used to evaluate, the risk level of failures to rank failures and to prioritize actions. RPN is obtained by multiplying the scores of three risk factors like the Severity (S), Occurrence (O) and Detection (D) of each failure mode. RPN method can not emphasise the nature of the problem, which is multi-attributable and has a group of experts' opinions. Furthermore, attributes are subjective and have different importance levels. In this paper, a framework is proposed to overcome the shortcomings of the traditional method through the fuzzy set theory. Two case studies have been shown to demonstrate the methodology thus developed. It is illustrated a parallel between the results obtained by the traditional method and fuzzy logic for determining the RPNs. We expect that fuzzy FMEA model will assist FMEA team in assess and rank risks more precisely compared with risk assessment model of method.

scholarly journals Analisis Risiko Produksi Daging Sapi di Rumah Potong Hewan Menggunakan Metode Fuzzy FMEA (Studi Kasus di RPH X)

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Sucipto Sucipto ◽  
Dimas Reditya Laksmana Putra ◽  
Mas'ud Effendi
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Operational Procedure ◽  
Fuzzy Fmea ◽  
Reward And Punishment

Penyembelihan penting dikontrol untuk memproduksi daging sapi yang halal, aman, dan berkualitas. Risiko produksi daging sapi perlu diidentifikasi dan diantisipasi. Penelitian ini bertujuan mengidentifikasi risiko dan memberi usul perbaikan untuk pencegahan dini. Risiko diananlisis menggunakan metode Fuzzy Failure Mode and Effect Analysis (F-FMEA) dengan pembobotan tiap faktor dan kompetensi setiap pakar. Setiap risiko dibuat prioritas dengan Fuzzy Risk Priority Numbers (F-RPN). Hasil penelitian menunjukkan dari 10 risiko terdapat 3 risiko dengan nilai F-RPN tertinggi yaitu pekerja tidak taat aturan, pekerja kurang terampil, dan kondisi fisik daging buruk. Risiko tersebut diberi usul perbaikan berupa penyuluhan dan pelatihan berkala mengenai kehalalan, higienitas, dan mutu daging sapi pada pekerja, pembenahan fasilitas, dan pemberian poster standard operational procedure (SOP) di setiap ruang proses produksi. Selain itu, reward and punishment yang jelas dan tegas penting diterapkan.

Risk Priority Analysis for Engine Based on Fuzzy Weighted Geometric Mean

2012 ◽  
Vol 463-464 ◽  
pp. 1160-1164 ◽  
Author(s):  
Ying Kui Gu ◽  
Xin Chong Luo ◽  
Shun Yun Tang
Keyword(s):  
Failure Mode ◽  
Failure Modes ◽  
Geometric Mean ◽  
Computational Process ◽  
Occurrence Probability ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Alpha Level ◽  
Theory Failure

Fuzzy risk priority numbers (FRPNs) were proposed for assessment of the probabilistic risk by synthetically using fuzzy set theory, failure mode and effect analysis. The priority rank of failure modes is evaluated by fuzzy risk priority number in the fuzzy failure mode and effect analysis, where occurrence probability ranking, effect severity ranking and detection difficulty ranking are all fuzzy weighted geometric mean, and the FRPN can be computed using alpha-level set and optimization model. An engine example was provided to illustrate the proposed fuzzy FMEA and the detailed computational process of the FRPNs.

scholarly journals Analisis Preventive Maintenance Pada Mesin Produksi dengan Metode Fuzzy FMEA

2020 ◽  
Vol 8 (1) ◽  
pp. 13-20
Author(s):  
Sri Susilawati Islam
Keyword(s):  
Failure Mode ◽  
Preventive Maintenance ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Fuzzy Fmea

Kegiatan perawatan mesin (maintenance) merupakan kegiatan yang memiliki peran yang sangat penting untuk menunjang kelancaran proses produksi. Maintenance yang tidak teratur dapat mengakibatkan mesin mengalami gangguan atau kerusakan (downtime), hal ini dapat menghambat kelancaran proses produksi. Agar proses produksi dapat berjalan sesuai dengan perencanaan, maka harus ditunjang dengan keadaan mesin yang handal sehingga diperlukan perencanaan perawatan mesin yang baik. Pereventive maintenance merupakan salah satu perencanaan perawatan yang banyak digunakan untuk memastikan bahwa mesin dapat berjalan sesuai dengan fungsinya. Pada penelitian ini, studi kasus dilakukan di PT PLN Sektor Tello Makassar sebab perusahaan tersebut mempunyai peranan penting dalam menyuplai arus listrik di kota Makassar yaitu sebesar 197,61 MW. Jika terjadi kerusakan mesin maka akan berdampak pada aktivitas ekonomi masyarakat yang dapat menyebabkan kerugian, saat ini perencanaan maintenance yang dilakukan oleh PT PLN Sektor Tello Makassar belum berjalan optimal karena masih terjadinya kerusakan mesin generator saat proses produksi berlangsung. Agar kegagalan mesin dapat dikurangi, maka penelitian ini akan menggunakan metode Fuzzy FMEA (Failure Mode and Effect Analysis) untuk mengidentifikasi kerusakan mesin dan menentukan prioritas mesin dalam proses perawatan serta jenis perawatannya berdasarkan nilai RPN (Risk Priority Number).

scholarly journals Analisis Risiko dan Penentuan Strategi Mitigasi Pada Proses Produksi Beras

2020 ◽  
Vol 20 (2) ◽  
pp. 67
Author(s):  
Mansur Budi Yahman ◽  
Dharma Widada ◽  
Anggiarini Profita
Keyword(s):  
Risk Factors ◽  
Production Process ◽  
Failure Mode ◽  
Analytical Hierarchy Process ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Mode Effect ◽  
Hierarchy Process ◽  
Very High ◽  
Failure Mode Effect Analysis

ABSTRACT UD Sido Muncul factory is a rice milling business that produces rice for consumed which in its production is inseparable from the risk. These risks cause a disruption in the production process and also cause losses such as the cessation of the production process so that it cannot meet demand. To manage the risks that occur, the Fuzzy Failure Mode Effect Analysis (Fuzzy FMEA) and Analytical Hierarchy Process (AHP) methods are used. The risk identification use the production process flow in general, namely raw material (input), production (process), and finished product (output) factors. From the results of FMEA fuzzy data processing, a total of 25 risks and priority risks from each factor were found, those are; the risk of competing rice buyers (894) very high; the risk of damage to the prime mover 883 very high, and the risk of competing suppliers of rice (748) high-very high. To mitigate the risks priority, 7 alternative strategies were developed. The priority mitigation strategies were chosen for each risk factor; the partnership building strategy (0.731) for input risk factors; routine engine maintenance strategies (0.637) for process risk factors and the product quality maintenance strategy (0.637) for output risk factors.   Keywords: Risk Management, Production Processes Risk, Mitigation Strategy, Fuzzy FMEA, AHP   ABSTRAK Pabrik UD Sido Muncul merupakan usaha penggilingan padi yang memproduksi beras siap konsumsi yang didalam produksinya tidak terlepas dari adanya risiko. Risiko tersebut menyebabkan terganggunya proses produksi dan menyebabkan kerugian seperti terhentinya proses produksi sehingga tidak dapat memenuhi permintaan. Untuk dapat mengelola risiko yang terjadi digunakan metode Fuzzy Failure Mode Effect Analysis (Fuzzy FMEA) dan Analytical Hierarchy Process (AHP). Identifikasi risiko menggunakan alur proses produksi secara umum yaitu faktor bahan baku (input), proses produksi (process), dan produk jadi (output). Dari hasil pengolahan data fuzzy FMEA didapatkan total 25 risiko dan risiko prioritas dari setiap faktor yaitu risiko pesaing pembeli padi (894) very high, risiko kerusakan pada motor penggerak utama 883 very high, dan risiko pesaing supplier beras (748) high-very high. Untuk memitigasi risiko prioritas maka dikembangkan 7 alternatif strategi. Adapun strategi mitigasi prioritas yang terpilih untuk setiap faktor risiko yaitu strategi menjalin kemitraan (0,731) untuk faktor risiko input, strategi pemeliharaan mesin secara rutin (0,637) untuk faktor risiko process dan strategi menjaga kualitas produk (0,637) untuk faktor risiko output.   Kata kunci: Manajemen Risiko, Risiko Proses Produksi, Strategi Mitigasi, Fuzzy FMEA,  AHP

scholarly journals Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja

2017 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Ronald Sukwadi ◽  
Frederikus Wenehenubun ◽  
Tarsina Wati Wenehenubun
Keyword(s):  
Risk Factors ◽  
Fuzzy Logic ◽  
Risk Factor ◽  
Failure Mode ◽  
Failure Modes ◽  
Effect Analysis ◽  
Fuzzy Fmea ◽  
Work Accident ◽  
Work Accidents ◽  
Fmea Method

<p><em>This </em><em>study</em><em> </em><em>aims to</em><em> </em><em>identify and </em><em>analyze </em><em>the </em><em>risk factors </em><em>of</em><em> work accidents</em><em>. </em><em>Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic </em><em>approach are applied</em><em>. </em><em>The information obtained from the workers is expressed using fuzzy linguistics terms, and a FMEA method is proposed to determine the risk priority of failure modes. </em><em>The results </em><em>indicate</em><em> that </em><em>injuries caused when struck by an object are the highest</em><em> risk factor </em><em>of work accident (</em><em>FRPN </em><em>=</em><em> 886</em><em>). Some work improvements are suggested to reduce or eliminate the work risks.</em><em></em></p><p><em>Keywords</em><em>: Risk factor</em><em>s</em><em>, work accident, FMEA, Fuzzy </em></p>

scholarly journals Operational risk analysis with Fuzzy FMEA (Failure Mode and Effect Analysis) approach (Case study: Optimus Creative Bandung)

2018 ◽  
Vol 154 ◽  
pp. 01084 ◽  
Author(s):  
Taufiq Immawan ◽  
Wahyudhi Sutrisno ◽  
Annisa Kamilia Rachman
Keyword(s):  
Failure Mode ◽  
Industrial Development ◽  
Effect Analysis ◽  
Qualitative Risk Assessment ◽  
Fuzzy Fmea ◽  
Potential Failure ◽  
Photo Editing ◽  
Fmea Method ◽  
A Company

Industrial development in Indonesia, manufacturing and services, are required to be able to manage the company very well. However, in practice, the company’s activities are always faced with risks. In general, the risk can be defined as a situation faced by a person or a company in which there is a possibility that harm. The level of risk faced losses due to highly variable depending on the cause and effect influence. To be able to manage (risk management), it can use FMEA (Failure Mode and Effect Analysis). FMEA is a method of analyzing potential failure are applied in product development, system engineering and operational management and is one of a qualitative risk assessment. Using FMEA can also note the value of the RPN (Risk Priority Number) to determine improvement priorities at risk. But there are weaknesses in the use of FMEA, namely RPN calculation is only done by multiplying the severity, occurence and detection alone and irrespective of the degree of importance of each input, to the FMEA method is integrated using fuzzy logic. Fuzzy FMEA is aimed at obtaining the highest fuzzyRPN value which will be used as the focus of improvements to minimize the possibility of these risks occur back. The results were obtained 7 out of 18 types of risks that have a high priority for repairs. Risk troublesome computer (hank / die) while doing photo editing scored the highest RPN 540 (scale 1-1000) and also the highest FRPN 9 (scale 1-10). There is a difference in value between RPN and FRPN. FRPN value obtained from the fuzzification, generate value by taking into account the degree of interest of any given input.

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