Open AccessProposed optimal maintenance intervals for milling machine using risk based maintenance and analytical hierarchy process at manufacturing plant
Author(s) -
Deanna Auliya Farid,
Endang Budiasih,
Judi Alhilman
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/1003/1/012041
Subject(s) - analytic hierarchy process , spare part , manufacturing engineering , reliability engineering , mean time between failures , preventive maintenance , engineering , process (computing) , total productive maintenance , interval (graph theory) , production (economics) , operations management , computer science , failure rate , operations research , mathematics , economics , operating system , combinatorics , macroeconomics
PT IIS is an outsourcing company that offers manufacturing spare parts and dies forging. In producing dies forging product PT IIS uses Milling machines, lathes, and CNC 20-L Liquy Hising machines. Based on machine failure data, milling machines suffered a total of 27 times failure during the 2018-2019 period, the frequency of failure will affect the production process and resulted in large maintenance costs. Thus, it takes more observation regarding the maintenance of the Milling machine. The method used for research is Risk-based maintenance (RBM) which aims to estimate and minimize risks arising from failure. The results of collection and processing using RBM revealed that Milling machines with 2880 hours maintenance intervals had a total risk of Rp6,395,124.84 with the percentage of 0.67% exceeding the company’s risk tolerance limit of 0.50%. Using the approach to minimizing risks, the proposed maintenance interval is 1100 hours and is at the company’s risk acceptance criteria of 0.50%. This study also uses the Analytical Hierarchy Process (AHP) method which decides the maintenance policies that are tailored to the company’s conditions, for Spindel components and rags using condition-based maintenance, and coolant hose components using time-based maintenance.