This study presents a framework for machine maintenance planning based on the integration of risk-based maintenance (RBM) and Cost of Unreliability (COUR) techniques. Using a reliability-based approach, RBM is essentially a method for determining a plan or program of maintenance activities based on the risk of failure and the consequences of component failures. COUR is the total cost of the situation caused by a failure in reliability, including the costs associated with a poor reliability program and poor maintenance. As a practical example, we provide a core builder machine maintenance plan as a case study. In order to reduce the risk value, the maintenance time intervals for critical components of the core builder machine have been shortened, specifically for the Heater component from 24 days to 6 days, the Roll component from 48 days to 13 days, and the Conveyor component from 48 days to 23 days. As a result, the company’s maintenance costs for the core builder machine decreased from Rp 39,953,220 to Rp 8,143,768.
Skip Nav Destination
Article navigation
26 March 2024
2ND INTERNATIONAL CONFERENCE ON TECHNOLOGY, INFORMATICS, AND ENGINEERING
23–24 August 2022
Malang, Indonesia
Research Article|
March 26 2024
Integration of risk based maintenance (RBM) and cost of unreliability (COUR) methods in machine maintenance planning: A case study
Ikhlasul Amallynda;
Ikhlasul Amallynda
a)
Department of Engineering, Universitas Muhammadiyah Malang
, Malang, Indonesia
a)Corresponding author: [email protected]
Search for other works by this author on:
Eko Saifudin;
Eko Saifudin
Department of Engineering, Universitas Muhammadiyah Malang
, Malang, Indonesia
Search for other works by this author on:
Muhammad Lukman
Muhammad Lukman
Department of Engineering, Universitas Muhammadiyah Malang
, Malang, Indonesia
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2927, 050006 (2024)
Citation
Ikhlasul Amallynda, Eko Saifudin, Muhammad Lukman; Integration of risk based maintenance (RBM) and cost of unreliability (COUR) methods in machine maintenance planning: A case study. AIP Conf. Proc. 26 March 2024; 2927 (1): 050006. https://doi.org/10.1063/5.0194624
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
21
Views
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Related Content
Solving heterogeneous fleet vehicle routing problem with clarke wright saving heuristic and genetic algorithm
AIP Conf. Proc. (March 2024)