Open AccessModeling opportunistic maintenance using discrete event simulation
Author(s) -
Agung Budiono,
Nurhadi Siswanto,
Nani Kurniati
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/1072/1/012045
Subject(s) - schedule , reliability engineering , computer science , discrete event simulation , process (computing) , event (particle physics) , planned maintenance , variety (cybernetics) , corrective maintenance , preventive maintenance , condition based maintenance , optimal maintenance , maintenance actions , operations research , engineering , simulation , physics , quantum mechanics , artificial intelligence , operating system
This study aims to create a simulation model of Opportunistic Maintenance (OM). In continuous industries and with a large variety of equipment functions, options for maintenance are very small. Determination of the maintenance schedule is based on the time opportunity created by the inventory level conditions, are blocking by the next process or lack of material from the previous process. The research was conducted by using discrete event simulation to generate arrival time of equipment failure and opportunistic maintenance time from scheduled maintenance and arrival time for maintenance due to inventory conditions. The arrival time of failure and the arrival time of opportunistic maintenance will probably intersect. Such conditions will increase the availability of equipment. Then the replication process is carried out to compare the availability of equipment under real conditions and the expected value of availability from the simulation. Finally, scheduled maintenance can be a decision variable to choose the best maintenance time when faced with fluctuations in demand.