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All Journal Jurnal INTECH Teknik Industri Universitas Serang Raya
Shofa, M. Jihan
Universitas Serang Raya
Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Analisis Pengendalian Kualitas Produk dengan Menggunakan Metode Six Sigma di Lini Electrolytic Cleaning Line (ECL) Bahari, Alfin; Shofa, M. Jihan
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol 3, No 1 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v3i1.875

Abstract

A company engaged in steel, in its production activities still experienced the highest quality loss with disability in the line of Electrolytic Cleaning Line (ECL) with a percentage of disability of 16%, quality that meets company standards of 80%. The purpose of this study is to determine the baseline performance, identify the causes of disability and propose corrective action plans. This study uses the Six Sigma method that goes through the stages of analysis, namely Define, Measure, Analyze, Improve. The results of data processing, it can be seen that the process DPMO value in the Electrolytic Cleaning Line (ECL) line is 53,827,270 with a sigma level value of 3.11. From the identification of dominant CTQ, it can be seen that the CTQ that often occurs is a type of Soft Eyes. Therefore, for now, Soft Eyes is a priority for improvement. Based on the analysis of the causes of Soft Eyes using Failure Mode And Analysis (FMEA) obtained from the description of the process produces the highest Risk Priority Number (RPN) that is in human factors of 504. Since human factors are the primary cause, the company supervises the operator when doing work, to prevent unwanted defects in the product.
Analisis Pengurangan Cooling Water Loss Menggunakan Six Sigma dan Failure Mode Effect Analysis (FMEA) Wicaksono, Ikhsan; Wibowo, Tri Joko; Shofa, M. Jihan
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol 3, No 2 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (599.861 KB) | DOI: 10.30656/intech.v3i2.882

Abstract

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.
Analisa Kinerja Mesin Roughing Stand dengan Menggunakan Metode Overall Equipment Effectiveness (OEE) dan Failure Mode Effect Analysis (FMEA) Hasrul, Hasrul; Shofa, M. Jihan; Winarno, Heru
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol 3, No 2 (2017)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (605.05 KB) | DOI: 10.30656/intech.v3i2.879

Abstract

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..
Co-Authors Bahari, Alfin Hasrul Hasrul, Hasrul Heru Winarno RB. Tri Joko Wibowo Wicaksono, Ikhsan