Publication Date: 2024/02/20
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.
DOI: https://doi.org/10.5281/zenodo.10682626
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24FEB693.pdf
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