Open AccessMaintenance Policy for Korin Filling Machines Using Overall Equipment Effectiveness (OEE) and Markov Chain
Author(s) -
Debrina Puspita Andriani,
Aa Santosa,
D. U. M. Depari
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/879/1/012173
Subject(s) - downtime , overall equipment effectiveness , markov chain , schedule , reliability engineering , computer science , measure (data warehouse) , production (economics) , quality (philosophy) , product (mathematics) , engineering , mathematics , machine learning , data mining , geometry , economics , macroeconomics , operating system , philosophy , epistemology
The aim of this study is to measure the performance effectiveness, determine component replacement, and maintenance schedule for Korin filling machines that often experience downtime. The downtime can cause the performance of the machine to decline so that the production process does not run optimally, the product operating time decreases from the time of the targeted operation. This study used two methods, Overall Equipment Effectiveness (OEE) is a method used to measure the effectiveness of overall machine performance by measuring Availability, Performance, and Quality Level factors, meanwhile, Markov Chain is a method used to determine preventive maintenance schedules to obtain optimal time and costs for important components. The results of the Overall Effectiveness of Equipment on the Korin Filling machines are decreased. The value of the performance factor is at the lowest value. The results of the Markov Chain method yielded a machine maintenance schedule every five days.