PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Vol. 8 No. 1 (2024): Juni

Analysis of Bolt Former Machine Effectiveness Using Overall Equipment Effectiveness (OEE) and Six Big Lossess: Analisis Efektivitas Mesin Bolt Former Menggunakan Overall Equipment Effectiveness (OEE) dan Six Big Losses

Ardy, Haekal (Unknown)
Widiasih, Wiwin (Unknown)



Article Info

Publish Date
30 Jun 2024

Abstract

XYZ a manufacturer of nuts and bolts, frequently faced bolt former breakdowns that resulted in huge losses and disrupted the company's operational efficiency and reputation. To solve this problem, PT XYZ needs to implement an effective maintenance strategy and closely monitor machine conditions to reduce the risk of breakdowns and ensure smooth production. This can be analyzed using the OEE method that exists in the company to detect early symptoms of damage, and continuous monitoring of machine conditions. Based on the calculation (OEE) before maintenance scheduling is made on the bolt former machine is currently 69.34%, which is below the standard (JIPM) of 85%. Therefore, the machine still needs to increase productivity through the OEE and Six Big Losses methods and then proceed with analyzing the problem using a fishbone diagram. The results of the analysis found that the biggest factor of time loss was reduced speed losses of 23.15%. The value of setup and adjustment losses was 7.82%, idling and minor stoppages losses were 7.44%, equipment failure losses were 3.12%, defect losses were 0.99%, and scrap losses were 0.11%. After the implementation of OEE, it has an impact on the level of productivity with the calculation results increasing to 77.78%. The availability value reached 89.90%, the performance value was 87.75%, and the quality value was 99.57%.

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Journal Info

Abbrev

prozima

Publisher

Subject

Industrial & Manufacturing Engineering

Description

Aim: to facilitate scholar, researchers, and teachers for publishing the original articles or review articles. Scope: Industrial Engineering included: Supply Chain Management Optimization and industry system Ergonomics Strategic Management Quality Engineering and Management Sustainability Experiment ...