Overall Equipment Effectiveness (OEE) Analysis to Minimize Six Big Losses in Continuous Blanking Machine

Marfinov, Bintang Fadhilah Putri Aulia; Pratama, Ahmad Juang

doi:10.22441/ijiem.v1i1.8037

Cited by 7 publications

(6 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Tingginya downtime pada mesin auto front wheel disebabkan oleh kegagalan fungsi pada mesin [20] [23]. Sering terjadinya downtime mesin merupakan indikasi kurang efektifnya preventive maintenance yang diterapkan perusahaan [5] [16]. Data downtime mesin di line assy wheel dapat dilihat pada Gambar 1.…”

Section: Pendahuluanunclassified

Analisis Faktor yang Menyebabkan Downtime pada Mesin Auto Front Wheel di Industri Otomotif

Setiawan,

Wiyatno

2023

waluyojatmiko

View full text Add to dashboard Cite

Industri Otomotif merupakan salah satu perusahaan yang bergerak di bidang industri otomotif khususnya sepeda motor. Proses produksi di Permo Industry membutuhkan mesin untuk mendukung proses produksinya. Diantara semua mesin produksi, mesin auto front wheel merupakan mesin dengan angka downtime tertinggi. Tingginya downtime mesin auto front wheel disebabkan oleh kegagalan fungsi mesin sebesar 12.000 detik atau 200 menit. Untuk menurunkan downtime, dalam studi ini dibuatkan jadwal pengecekan dan penggantian preventive komponen. Tujuan penelitian adalah untuk mengetahui permasalahan yang menybabkan downtime akibat kerusakan komponen mesin. Tahapan perbaikan ini menggunakan Plan, Do Check, Action (PDCA). Hasil penelitian ini dapat mengetahui faktor tertinggi yang menyebabkan mesin mengalami breakdown. Berdasarkan anlisis ditemukan faktor metode adalah belum ada jadwal preventive penggantian spring pin press bearing sehingga penggantian dilakukan setelah terjadi kerusakan. Fakor mesin adalah tidak adanya sistem monitoring atau sensor yang memberikan informasi real-time kondisi spring pin press bearing.

show abstract

Section: Pendahuluanunclassified

Analisis Faktor yang Menyebabkan Downtime pada Mesin Auto Front Wheel di Industri Otomotif

Setiawan,

Wiyatno

2023

waluyojatmiko

View full text Add to dashboard Cite

show abstract

“…The results of OEE analysis can help find inefficiencies in a machine, as it will be easy to maintain errors. According to Wicaksono and Yuamita (2022) [22], OEE is calculated by obtaining the value of the availability of the machine, production equipment, and performance efficiency. It is as shown in equation 1 :…”

Section: • Capture Datamentioning

confidence: 99%

Analysis of sag mill machine performance using overall equipment effectiveness and failure model and effects analysis method

Fuadiya

Widjajati²

2022

Int. J. Ind. Optim.

View full text Add to dashboard Cite

The mining company uses a variety of grinding machines to process minerals, whereas the most common type of machine is the Semi-Autogenous Grinding SAG Mill machine. This machine is employed for the mining process of hard rock as raw material into gold, copper, and silver. However, the SAG Mill machines are often broken, even suddenly not working, with an average loss time of 97.30 hours which impacts a decrease in efficiency and production quality of up to 40%. It can cause losses that do not reach the production target. This research aims to measure the effectiveness of the SAG Mill machine and determine the failure using the OEE and FMEA methods. The results showed that the SAG Mill machine is still under standardized based on the Japan Institute of Plant Maintenance (JIPM), which is 85%. The FMEA method and RPN value apply to analyze downtime losses, and idling is the loss that highly affects the effectiveness of SAG Mill machines. Recommendations for the company are to increase the number of equipment that aims to prolong the machine's age and accelerate production. This research contributes to another solution to help maintenance managers by measuring the effectiveness and determining the failure of the SAG Mill machine

show abstract

“…OEE is the most effective action to encourage machine/ equipment improvement [9]. OEE is the ability of the engine to work optimally in the best conditions to produce maximum output and quality [17]. OEE is based on the measurement of three main ratios: the machine's availability, performance, and the machine's quality [7].…”

Section: Fig 1 Downtime Survey Datamentioning

confidence: 99%

Integration of FMEA method and overall equipment effectiveness to increase effectiveness of TS analyzer machine

Atikno¹,

Kusumah²

2022

j. sist. manaj. ind.

View full text Add to dashboard Cite

Total Sulfur Analyzer (TS Analyzer) is one of the machines in the laboratory to test the total sulfur content contained in coal samples. Technically, specifications and use are regulated by international standards. In 2020, the downtime of these tools was very high, causing the productivity of surveyors to decrease. Low productivity will have an impact on the company's losses. The productivity of this equipment and machines is crucial to maintaining the company's success in its business processes. This study aims to measure the effectiveness of the operational performance of the TS Analyzer machine in the laboratory, analyze the causative factors and make improvements. This research uses the integration method of Failure Mode And Effect Analysis (FMEA) and Overall Equipment Effectiveness (OEE). Based on the analysis of the causes of the problem, the low OEE value is caused by the high breakdown loss. Based on the FMEA analysis, it was found that the operator was wrong in operating the machine with RPN 343, electrical instability with RPN 343, unstable temperature with RPN 343 and improper thermocouple installation. The results showed that the OEE value of the TS Analyzer machine has increased after the improvement.

show abstract

Overall Equipment Effectiveness (OEE) Analysis to Minimize Six Big Losses in Continuous Blanking Machine

Cited by 7 publications

References 2 publications

Analisis Faktor yang Menyebabkan Downtime pada Mesin Auto Front Wheel di Industri Otomotif

Analisis Faktor yang Menyebabkan Downtime pada Mesin Auto Front Wheel di Industri Otomotif

Analysis of sag mill machine performance using overall equipment effectiveness and failure model and effects analysis method

Integration of FMEA method and overall equipment effectiveness to increase effectiveness of TS analyzer machine

Contact Info

Product

Resources

About