Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja

Sukwadi, Ronald; Wenehenubun, Frederikus; Wenehenubun, Tarsina Wati

doi:10.26593/jrsi.v6i1.2425.29-38

Cited by 4 publications

(4 citation statements)

References 5 publications

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“…FMEA can evaluate and analyze components in the system so that it can minimize the risk or effect of a failure rate as a supporting method for evaluating the performance of a system (Imanuell & Lutfi, 2019). The role of the FMEA method itself can be used to determine the risk of accidents in the system (Sukwadi et al, 2017), the risk of component production failure (Hasbullah et al, 2017), supply chain system risks (Liu et al, 2018;Latif, et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Implementation of Quality Improvements to Minimize Critical to Quality Variations in Polyurethane Liquid Injection Processes

Nazaruddin

2022

JAETS

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PT Topjaya Antariksa Electronics is a manufacturing company that produces various refrigerators, home freezers, and showcase refrigerators. Refrigerators are produced in the form of single doors and twin doors. This company was founded in 1988 and distributed by Toshiba Sarana Utama throughout Indonesia. This research is intended to reduce the process failure rate so that the potential for defects produced in the polyurethane shop is reduced by finding repair solutions. This study aims to plan improvement efforts to reduce process failures in the polyurethane shop and then evaluate the results of implementing the proposal. The FMEA (Failure Mode and Effect Analysis) method is used. This method performs several stages, such as determining the potential failure mode in each process, identifying the cause of failure, and then making a priority order. Process failure in this polyurethane shop is the most significant process failure compared to other shops. This failure causes the defects in the process at the polyurethane shop to be higher than in other shops. In 2019, 2020, and 2021, the number of refrigerator cabinets in the flawed polyurethane injection process amounted to 7,666 units, 8,256 units, and 8,014 units. The percentage of defects compared to the amount of production found in the polyurethane injection process each year was 18.46%, 17.82%, and 18.11%.

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Section: Literature Reviewmentioning

confidence: 99%

Implementation of Quality Improvements to Minimize Critical to Quality Variations in Polyurethane Liquid Injection Processes

Nazaruddin

2022

JAETS

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“…Penelitian dengan menggunakan logika fuzzy akan memperoleh hasil yang lebih akurat dibandingkan dengan menggunakan metode FMEA tradisional [7].…”

Section: Logika Fuzzyunclassified

“…Fuzzy FMEA merupakan pengembangan dari metode FMEA yang memberikan fleksibilitas untuk menampung ketidakpastian akibat samarnya informasi yang dimiliki maupun unsur preferensi yang subjektif yangdigunakan dalam penilaian terhadap mode kegagalan yang terjadi [7].Penambahan konsepFuzzy pada algoritma FMEA memungkinkan data yang digunakan berupa data linguistik ataupun data numerik yang akan mempunyai nilai membership pada setiap atributnya [8].…”

Section: Fuzzy Failure Mode Effect Analysis(fmea)unclassified

Analisis Risiko dan Penentuan Strategi Mitigasi Pada Proses Produksi Beras

Yahman

Widada²,

Profita³

2020

MATRIK

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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

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“…Penggunaan metode fuzzy diharapkan nilai Fuzzy Risk Priority Number (FRPN) berbeda jika dibandingkan dengan metode FMEA. Perbandingan kedua nilai dari metode terse-but akan diperoleh urutan FRPN berbeda, hasil perhitungan fuzzy akan memberikan prioritas tindakan perbaikan yang lebih baik (Sukwadi et al, 2017).…”

Section: Pendahuluanunclassified

Strategi Peningkatan Kualitas Leather Dengan Metode Lean Six Sigma Dan Fuzzy Fmea (Studi Kasus Di Sumber Rejeki)

Roesmasari

Santoso

Sucipto

2018

JTP

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ABSTRAKKegagalan produk mengandung unsur ketidakpastian yang disebabkan selama proses produksi berlangsung. Metode Lean Six Sigma diharapkan mampu mengidentifikasi waste yang terjadi pada proses produksi dan mendapatkan kategori waste yang berpengaruh pada kualitas kulit samak. Metode FMEA diintegrasikan dengan metode fuzzy untuk mendapatkan prioritas tindakan perbaikan yang lebih baik. Terdapat 8 jenis cacat kulit samak dan 4 jenis cacat prioritas, sekaligus menjadi CTQ yaitu open grain, snei, fish eyes, dan cracking. Metode FMEA menghasilkan nilai RPN tertinggi yaitu open grain dengan nilai 576 dan nilai RPN tertinggi kedua 448 dari jenis cacat fish eyes. Jenis cacat cracking juga memiliki nilai RPN sebesar 448. Fuzzy dapat mengeliminasi nilai RPN yang sama dan menentukan tindakan perbaikan prioritas Kata kunci: Analytical Hierarchy Process; Failure Mode and Effect Analysis; Fuzzy Logic ABSTRACTThe occurrence of a product failure contains an element of uncertaintycaused by production processes. Lean Six Sigma method is expected to identify the waste that occurs in the production process and get the category of waste that affects the leather quality.FMEA method is integrated with the fuzzy method to get better improvement action priority. There are eight types of leather defects and four types of defects that become a priority, as well as a CTQ, are open grain, snei, fish eyes, and cracking. In the FMEA method obtained the highest RPN value of 576 on open grain defects type. The second highest RPN value of 448 from fish eyes defect type, with defect cause is differences in chemical material content on the solvent. Defect cracking type with defect cause is too hard paint layer also has RPN value of 448. Calculations using the fuzzy approach can eliminate the same risk priority value in the RPN FMEA value and as a reference for improvement action

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Pendekatan Fuzzy FMEA dalam Analisis Faktor Risiko Kecelakaan Kerja

Cited by 4 publications

References 5 publications

Implementation of Quality Improvements to Minimize Critical to Quality Variations in Polyurethane Liquid Injection Processes

Implementation of Quality Improvements to Minimize Critical to Quality Variations in Polyurethane Liquid Injection Processes

Analisis Risiko dan Penentuan Strategi Mitigasi Pada Proses Produksi Beras

Strategi Peningkatan Kualitas Leather Dengan Metode Lean Six Sigma Dan Fuzzy Fmea (Studi Kasus Di Sumber Rejeki)

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