Open AccessProposing predictive maintenance strategy to increase OEE through system upgrade scenarios and AHP
Author(s) -
Yudha Prasetyawan,
I. Rachmayanti
Publication year - 2021
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/1072/1/012031
Subject(s) - upgrade , analytic hierarchy process , overall equipment effectiveness , computer science , reliability engineering , risk analysis (engineering) , operations research , operations management , process management , business , engineering , production (economics) , economics , microeconomics , operating system
Maximizing the value of OEE is a crucial thing to do for a company in order to increase their productivity. OEE is one of the most common technique to measure equipment’s effectiveness. To enhance the number of OEE, it is very important to do a maintenance task to keep the equipment in a good condition. Predictive maintenance task is one of the maintenance strategies to see any potential failure in an equipment and do a preventive way to prevent it from a total stop/break down. As a result, understanding the needs to do a maintenance upgrades for better performance and proposing a good predictive maintenance strategy will enhance the value of OEE and result in cost savings. The objective of this paper is to propose the necessary predictive maintenance task using analytical hierarchy process (AHP) using three respondents to decide the AHP process and consistency ratio to get the most suitable maintenance task for fertilizer company as small medium enterprise.