RISK ASSESSMENT ALAT PRODUKSI GULA CANE KNIFE PADA STASIUN GILINGAN DI PT. X

Industrial development in Indonesia is growing rapidly. This should be balanced with the application of good HA safety risk management to workplace hazard risks. As in PT. X Lumajang Regency, in its production process has great potential hazard. One of them is in the cane knife tool at Gilingan Station that has been damaged in operation and has an employee accident impact. Therefore, to prevent the occurrence of recurrence of risk assessment, including hazard identification, risk assessment and hazard control. The purpose of this study is to conduct risk assessment using the method of failure mode effect analysis (FMEA) on the Cane Knife production process tool in PT. X Lumajang District. This research is descriptive research. The target of this research is sugar production process at PT. X with the informant is 1 person Quality Control (QC), 1 person production operators and 1 supervisor. The results show that there are 6 (six) failure modes that occur in the cane knife tool. Based on the Risk Priority Number (RPN), the highest failure mode occurs is a broken clutch string. While for risk control, quite enough. This is because there have been risk control efforts include technical control that is the installation of safety valve, administrative control is the application of SOP for workers and personal protective equipment. But for personal protective equipment only safety helmet, for other companies do not provide. The conclusion that can be drawn is the need for better risk control, especially on the damage that occurred on the clutch rope broken tool cane knife.Keywords: cane knife, failure mode effect analysis, risk assessment

Download Full-text

Risk analysis of cutting system under intuitionistic fuzzy environment

Reports in Mechanical Engineering ◽

10.31181/rme200101162k ◽

2020 ◽

Vol 1 (1) ◽

pp. 162-173

Author(s):

Dinesh Kumar Kushwaha ◽

◽

Dilbagh Panchal ◽

Anish Sachdeva ◽

◽

...

Keyword(s):

Risk Assessment ◽

Failure Mode ◽

Thermal Power ◽

Failure Detection ◽

Engineering System ◽

Effect Analysis ◽

Intuitionistic Fuzzy ◽

Mode Effect ◽

Cutting System ◽

Failure Mode Effect Analysis

Failure Mode Effect Analysis (FMEA) is popular and versatile approach applicable to risk assessment and safety improvement of a repairable engineering system. This method encompasses various fields such as manufacturing, healthcare, paper mill, thermal power industry, software industry, services, security etc. in terms of its application. In general, FMEA is based on Risk Priority Number (RPN) score which is found by product of probability of Occurrence (O), Severity of failure (S) and Failure Detection (D). As human judgement is approximate in nature, the accuracy of data obtained from FMEA members depend on degree of subjectivity. The subjective knowledge of members not only contains uncertainty but hesitation too which in turn, affect the results. Fuzzy FMEA considers uncertainty and vagueness of the data/ information obtained from experts. In order to take into account, the hesitation of experts and vague concept, in the present work we propose integrated framework based on Intuitionistic Fuzzy- Failure Mode Effect Analysis (IF-FMEA) and IF-Technique for Order Preference by Similarity to Ideal Solution (IF-TOPSIS) techniques to rank the listed failure causes. Failure cause Fibrizer (FR) was found to be the most critical failure cause with RPN score 0.500. IF-TOPSIS has been implemented within IF-FMEA to compare and verify ranking results obtained by both the IF based approaches. The proposed method was presented with its application for examining the risk assessment of cutting system in sugar mill industry situated in western Uttar Pradesh province of India. The result would be useful for the plant maintenance manager to fix the best maintenance schedule for improving availability of cutting system.

Download Full-text

Usulan Pengendalian Kualitas Produksi Benang Carded dengan Metode Six Sigma

Jurnal INTECH Teknik Industri Universitas Serang Raya ◽

10.30656/intech.v4i1.856 ◽

2018 ◽

Vol 4 (1) ◽

pp. 38

Author(s):

Abdul Manan ◽

Firdanis Setyaning Handika ◽

Ahmad Nalhadi

Keyword(s):

Production Process ◽

Failure Mode ◽

Six Sigma ◽

Risk Priority Number ◽

Effect Analysis ◽

Sigma Level ◽

Mode Effect ◽

Target Set ◽

Failure Mode Effect Analysis

A yarn company strives to produce good and quality products, but the production process that is carried out by each person will produce products targeted at a target that has been set at 5%. This study uses the Six Sigma method but only until the improvement stage. The research is to determine the DPMO value and sigma level in the spinning production process, to know what factors cause defects and new parameters to reduce the defect. Based on the results of the study that the DPMO on the type of CD thread in the spinning section is 17,130 and the sigma level is 3,6. The level of sigma that has dominated the Indonesian industry average, but has a defect of 8.7%, the target set at 5%. Damaged and dirty apron, clogged trumpet, and leaky hose are factors that plan defects. Furthermore, with Failure Mode Effect Analysis (FMEA), the highest value of Risk Priority Number (RPN) in tangled defects is that the apron is damaged (140) and clogged trumpet (120), while the highest RPN value is gross dirty, i.e., dirty apron (150) and hose leaking lubricant (120).

Download Full-text

Hazard Identification, Risk Assessment and Risk Control in Chemical Industry

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f9229.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 4429-4433

Keyword(s):

Risk Assessment ◽

Chemical Industry ◽

Personal Protective Equipment ◽

Risk Control ◽

Hazard Identification ◽

Working Environment ◽

Protective Equipment ◽

Worker Attitudes ◽

Direct Observations ◽

Extreme Risk

This study was aimed at identifying hazards through risk assessment and risk control by using HIRARC method in the warehouse of Company XYZ (a pharmaceutical company). Data was collected through direct observations, documentations, and interviews. The study found that Company XYZ identified 104 hazards in the year 2017, which were caused by poor working environment, worker attitudes, manual work, tools and machinery. This study revealed 57% of the total risks fall in medium category, 38% high, 5% low, and none of them are categorized under extreme risk. To control the risk, the company has been taking proactive actions through the elimination of risks, engineering, administration and Personal Protective Equipment (PPE).

Download Full-text

The Consistency of Using Failure Mode Effect Analysis (FMEA) on Risk Assessment of Information Technology

2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) ◽

10.1109/isriti.2018.8864467 ◽

2018 ◽

Author(s):

Apol Pribadi Subriadi ◽

Nina Fadilah Najwa ◽

Brigitta Devianti Cahyabuana ◽

Valeriana Lukitosari

Keyword(s):

Risk Assessment ◽

Information Technology ◽

Failure Mode ◽

Effect Analysis ◽

Mode Effect ◽

Failure Mode Effect Analysis

Download Full-text

Analisa Kinerja Mesin Roughing Stand dengan Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Failure Mode Effect Analysis (FMEA)

Jurnal INTECH Teknik Industri Universitas Serang Raya ◽

10.30656/intech.v3i2.879 ◽

2017 ◽

Vol 3 (2) ◽

pp. 55

Author(s):

Hasrul Hasrul ◽

M. Jihan Shofa ◽

Heru Winarno

Keyword(s):

Production Process ◽

Failure Mode ◽

Historical Data ◽

Product Formation ◽

Risk Priority Number ◽

Steel Product ◽

Effect Analysis ◽

Mode Effect ◽

Potential Failure ◽

Failure Mode Effect Analysis

The roughing stand machine functions for steel/product formation and the roll has five stands, and from each position has a different turn. In the production process, this machine also experiences obstacles that hinder the process [of production]. This study aims to determine the value of Overall Equipment Effectiveness (OEE) and analysis of the causes of OEE values have not been maximized based on the review of Failure Mode and Effect Analysis (FMEA). The data used are historical data of roughing stand machines during July 2016-December 2016. Based on the data processing performed, the results of the Overall Equipment Effectiveness (OEE) obtained on the Roughing Stand machine purchased at 57.5. The potential failure priority is base on the order of Risk Priority Number (RPN), the screw up non-working item has the most considerable RPN value (56). Regular lubrication is one way to maximize screw up performance..

Download Full-text

Analisis Defect dengan Metode Fault Tree Analysis dan Failure Mode Effect Analysis

Organum: Jurnal Saintifik Manajemen dan Akuntansi ◽

10.35138/organum.v2i2.58 ◽

2019 ◽

Vol 2 (2) ◽

pp. 62-72

Author(s):

Evan Nugraha ◽

Rini Mulyani Sari

Keyword(s):

Production Process ◽

Failure Mode ◽

Fault Tree ◽

Fault Tree Analysis ◽

Analysis Method ◽

Risk Priority Number ◽

Effect Analysis ◽

Tree Analysis ◽

Mode Effect ◽

Failure Mode Effect Analysis

There was a phenomenon that occurred in garment companies, namely the existence of defect products in the production process. In the sewing process, defects occurred with an average percentage of 6,67% in the first three months of early 2019. This 6,67% was a percentage of disability that exceeded the company percentage limit of 5%, thus disrupting the production process. The primary purposed of analyzing the factors of product defects was to find out the causes and solutions to the company. The Fault Tree Analysis method was used to find out the root caused of product defects. Three main problems caused product defects, namely 1) untidy stitches, 2) stitches that exceeded the specified size, and 3) straightened stitches. By using the Failure Mode Effect Analysis method, the three problems were caused by human error and the absence of a Standard Operating Procedure in the production process. As a solution to problems in the company, the Risk Priority Number value was used. From this study the result obtained 1 Risk Priority Number value is the proposed improvement.

Download Full-text

Analisis Risiko dan Penentuan Strategi Mitigasi Pada Proses Produksi Beras

MATRIK (Jurnal Manajemen dan Teknik) ◽

10.30587/matrik.v20i2.1112 ◽

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

Download Full-text

Machine Optimization of SNK HF Fabrication Plant in PT. Komatsu Indonesia with FMEA Method and Overall Equipment Effectiveness (OEE)

Journal of Technomaterials Physics ◽

10.32734/jotp.v3i2.6635 ◽

2021 ◽

Vol 3 (2) ◽

pp. 83-88

Author(s):

Titus Argarino ◽

Melya Dyanasari Sebayang ◽

Bantu Hotsan Manullang

Keyword(s):

Production Process ◽

Failure Mode ◽

Effect Analysis ◽

Important Thing ◽

Mode Effect ◽

Machine Parts ◽

Fmea Method ◽

Failure Mode Effect Analysis ◽

Production Facilities

The effectiveness of a machine is an important thing in the production process; the losses that arise can cause time losses and hamper the process, especially in vital production facilities. The SNK HF machine is a machine with category A or critical with the highest damage occurring throughout 2019–2020. Analysis of the condition of the machine’s effectiveness in this study was done by using the overall equipment effectiveness (OEE) method, namely by knowing the conditions of availability, performance and quality. The results of the OEE analysis are followed by a failure mode effect analysis (FMEA) to overcome the problems that occur. The condition of machine damage and the availability of machine parts are the factors that most affect the decrease in the effectiveness of the SNK HF machine.

Download Full-text