Authors :
Belayefa Nemiya; Harold Ugochukwu Nwosu; Ebigenibo Genuine Saturday
Volume/Issue :
Volume 9 - 2024, Issue 2 - February
Google Scholar :
http://tinyurl.com/3nherymk
Scribd :
http://tinyurl.com/34h23kdx
DOI :
https://doi.org/10.5281/zenodo.10682626
Abstract :
The importance of day-to-day maintenance has
increased because it plays a vital role in maintaining and
improving the availability, product quality, safety
requirements, and low costs for organizations. There are
numerous ways to plan and decide on the maintenance
problems, where multi-criteria decision making is one of
the fundamental tools. However, in many organizations,
especially where information about the likelihood of
equipment failure is low, the use of quantitative models is
not feasible. The goal of the study is to select a
maintenance model for a gas processing plant taking into
account the following criteria: availability of input data,
reliability of the input data, ease of computation, level of
usage, reliability of the results. Delay time degradation
model and Markovian degradation model were considered.
TOPSIS was applied to the two models using five criteria
to select the most suitable model for maintenance schedule
optimization. The delay time degradation model was
selected ahead of the Markovian model and used for
further analysis in this study.
Keywords :
Multicriteria Decision Making, TOPSIS, Delay Time Degradation Model, Maintenance, Markovian Degradation Model.
The importance of day-to-day maintenance has
increased because it plays a vital role in maintaining and
improving the availability, product quality, safety
requirements, and low costs for organizations. There are
numerous ways to plan and decide on the maintenance
problems, where multi-criteria decision making is one of
the fundamental tools. However, in many organizations,
especially where information about the likelihood of
equipment failure is low, the use of quantitative models is
not feasible. The goal of the study is to select a
maintenance model for a gas processing plant taking into
account the following criteria: availability of input data,
reliability of the input data, ease of computation, level of
usage, reliability of the results. Delay time degradation
model and Markovian degradation model were considered.
TOPSIS was applied to the two models using five criteria
to select the most suitable model for maintenance schedule
optimization. The delay time degradation model was
selected ahead of the Markovian model and used for
further analysis in this study.
Keywords :
Multicriteria Decision Making, TOPSIS, Delay Time Degradation Model, Maintenance, Markovian Degradation Model.
