Analisa Total Productive Maintenance Guna Meningkatkan Produktivitas Mesin Ekstrusi Type 2500 Menggunakan Metode Overall Equipment Effectiveness (OEE)

Authors

  • Achmad Muhazir
  • Zulkani Sinaga
  • Gusti Andhika Aji Pratama

DOI:

https://doi.org/10.31599/68mx5c27

Keywords:

Total Productive Maintenance, Overall Equipment Effectiveness, Six Big Losses.

Abstract

Manufacturing industry companies are always faced with productivity, quality and delivery 
problems as demanded from customers, PT. XYZ is engaged in manufacturing various aluminum 
profile products during the 2020 period, the company experienced a type 2500 extrusion machine 
downtime of 9807 minutes, exceeding the company's standard of 7800 minutes a year, this is one of 
the causes of a decline in production. This study aims to determine the effectiveness of the machine 
using the OEE (overall equipment effectiveness) method, to increase the productivity of the type 
2500 extrusion machine from the results of the six big losses analysis to identify the main cause of 
the downtime of the type 2500 extrusion machine. The results show that the overall equipment 
effectiveness measurement is obtained the average Avaibility Ratio presentation is 92.24%, 
Performance Ratio is 49.56% and Quality Rate is 99.72% so that the average overall equipment 
effectiveness value is 45.61% where this value is still below the average ideal value overall 
equipment effectiveness is 85%. The results of the measurement of six big losses obtained the results 
of downtime values: equipment failure losses 3.81%, setup and adjustment losses 3.95%, speed 
losses: idle and minor stoppage 3.03%, reduce speed losses 46.51%, quality losses: defect losses 
0.13%, reduced yield 0% , from these data it is known that the main problem is in the speed losses 
section with the highest loss in reduce speed losses of 46.51%. The factors that dominate the main 
cause of downtime for the 2500 extrusion machine are log heater, puller, dummi block, loader, finish 
cut saw, stem, and table.

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Published

2024-05-24

Issue

Section

Articles