scholarly journals Analisis Pengurangan Cooling Water Loss Menggunakan Six Sigma dan Failure Mode Effect Analysis (FMEA)

2017 ◽  
Vol 3 (2) ◽  
pp. 67
Author(s):  
Ikhsan Wicaksono ◽  
Tri Joko Wibowo ◽  
M. Jihan Shofa
Keyword(s):  
Failure Mode ◽  
Water Loss ◽  
Six Sigma ◽  
Water System ◽  
Cooling Water ◽  
Effect Analysis ◽  
Chemical Company ◽  
Mode Effect ◽  
The Cost ◽  
Failure Mode Effect Analysis

Loss on a working system is one of the causes of the cost of the process to swell. The loss that reaches more than 450 tons/month on a cooling water system at a chemical company in the Serang area causes the company's expenses to swell. This study aims to determine the cause of cooling water wash as a basis for process improvement by using Six Sigma and Failure Mode Effect Analysis (FMEA). Data analysis results showed that cooling water loss is too little backwash filter duration, service filter duration is not optimum, and flow unreadable side stream. Improvements by increasing the length of the backwash, raising the service time of the sand filter to every two days, and cleaning the rotameter can increase the sigma value from 3.5 to 4.5.

scholarly journals Usulan Pengendalian Kualitas Produksi Benang Carded dengan Metode Six Sigma

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).

scholarly journals Aplikasi Six Sigma dan Design of Experiment untuk Peningkatan Mutu Proses Kain Cotton Tetoron (Studi Kasus Perusahaan Tekstil)

Jurnal IPTEK ◽  
2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Ni Made Sudri ◽  
Yenny Widianty ◽  
Anissa Fernanda
Keyword(s):  
Failure Mode ◽  
Design Of Experiment ◽  
Six Sigma ◽  
Effect Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

Perbaikan Desain sistem Industri Tekstil dengan Six Sigma dan FMEA untuk peningkatan mutu proses. Six Sigma merupakan metoda peningkatan kualitas secara terus menerus ,dengan cara meminimalkan jumlah cacat. FMEA (Failure Mode Effect Analysis) alat dipergunakan untuk bantu penentuan tindakan yang sesuai , penghilangan mode kegagalan secara prioritas. Selanjutnya tahapan improve untuk penentuan faktor paling berpengaruh terhadap terjadinya cacat warna, supaya pengaruh dari factor gangguan jadi minimum. Apabila fungsi kontrol dilakukan dan factor penyebab cacat tidak muncul lagi akan terjadi peningkatan nilai sigma. Hasil analisa FMEA diperoleh factor temperature mesin dan material yang paling berpengaruh terhadap terjadinya cacat warna, dengan nilai RPN masing –masing 210 dan 120, Hasil perhitungan Six Sigma terjadi peningkatan nilai sigma darikondisi awal sebesar 3,78 sigma menjadi 4,93 sigma, atau terjadipeningkatan kemampuan proses 1,15 sigma. Usulan perbaikan menggunakan DOE (design of experiment) agar cacat warna tidak muncul disarankan dengan seting alat control suhu mesin thermosol dan pencampuran bahan kimia NaCl dioptimalkan. Kata Kunci : Six Sigma, FMEA, DOE

scholarly journals Implementation of Six Sigma to Minimize Reject Gusset Difference and Fold in the Blowing Process

2021 ◽  
Vol 6 (4) ◽  
pp. 1-6
Author(s):  
Nuur Apriliani Rahayu ◽  
Sugeng Santoso
Keyword(s):  
Failure Mode ◽  
Six Sigma ◽  
High Density Polyethylene ◽  
Potential Problem ◽  
High Density ◽  
Analysis Method ◽  
Effect Analysis ◽  
Material Characteristics ◽  
Mode Effect ◽  
Failure Mode Effect Analysis

PT. Elastis Reka Aktif including companies engaged in manufacturing made from rHDPE (recycling High Density Polyethylene). The problem that often occurs is that the achievement of the Not Good Key Point Indicator exceeds the tolerance given by management by 1%. Therefore, improvements were made using the Six Sigma method and the Failure Mode Effect Analysis method in order to get the priority of improvement targets. The first improvement proposal given to the company is for RPN 280, namely the material characteristics are not homogeneous by proposing a re-design of the silo which is in the pelletizing process and the fourth is RPN 252 where the roll takeup and winder positions are not parallel, namely by providing area boundaries in order to minimize the position not being aligned. parallel. After providing a proposal for each potential problem and socializing it to the production side, it is hoped that it can reduce the reject rate in the blowing process.

Risk analysis of cutting system under intuitionistic fuzzy environment

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.

scholarly journals Application of Failure Mode Effect Analysis (FMEA) to Reduce Downtime in a Textile Share Company.

2018 ◽  
Vol 8 (1) ◽  
pp. 40-46 ◽  
Author(s):  
Tsehaye Dedimas Beyene ◽  
◽  
Sisay Geremew Gebeyehu ◽  
Azemeraw Tadesse Mengistu ◽  
◽  
...  
Keyword(s):  
Failure Mode ◽  
Effect Analysis ◽  
Mode Effect ◽  
Failure Mode Effect Analysis
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