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Reseach Article

Optimizing Maintenance Activities Using HGA and Monte Carlo Simulation

by Mahadevan ML, Paul Robert T, Vignesh kumar V, Sridhar S
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 21
Year of Publication: 2010
Authors: Mahadevan ML, Paul Robert T, Vignesh kumar V, Sridhar S
10.5120/36-639

Mahadevan ML, Paul Robert T, Vignesh kumar V, Sridhar S . Optimizing Maintenance Activities Using HGA and Monte Carlo Simulation. International Journal of Computer Applications. 1, 21 ( February 2010), 106-110. DOI=10.5120/36-639

@article{ 10.5120/36-639,
author = { Mahadevan ML, Paul Robert T, Vignesh kumar V, Sridhar S },
title = { Optimizing Maintenance Activities Using HGA and Monte Carlo Simulation },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 21 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 106-110 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number21/36-639/ },
doi = { 10.5120/36-639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:47:40.754925+05:30
%A Mahadevan ML
%A Paul Robert T
%A Vignesh kumar V
%A Sridhar S
%T Optimizing Maintenance Activities Using HGA and Monte Carlo Simulation
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 21
%P 106-110
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present industrial environment needs proper maintenance for effective functioning of the system underlining the need for an optimal maintenance planning. Maintenance planning is a complex and an inherently stochastic process. This paper presents maintenance planning problem for a process industry. The problem is formulated to determine which of the possible actions viz. maintenance or replacement is to be carried out for the critical components during the planning period. Maintenance is carried out by analyzing improvement in the parameters (viz. MTBF & MTTR) during the design out period. The objective is to minimize the present value of total costs that are incurred by the decision taken during the planning period. The problem is solved by hybrid genetic algorithm (HGA) technique.

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Index Terms

Computer Science
Information Sciences

Keywords

Maintenance planning MTBF MTTR Hybrid Genetic algorithm Optimization