Issue |
E3S Web of Conf.
Volume 488, 2024
1st International Conference on Advanced Materials & Sustainable Energy Technologies (AMSET2023)
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Article Number | 03002 | |
Number of page(s) | 22 | |
Section | Green Buildings; Carbon Capture & Recycling of Energy Materials | |
DOI | https://doi.org/10.1051/e3sconf/202448803002 | |
Published online | 06 February 2024 |
Sewage Treatment Facility Maintenance: A Risk-based Approach for High-rise Residential Property
Technological Institute of the Philippines, Mechanical Engineering Department, 938 Aurora Blvd. Cubao, Quezon City, Philippines
* Corresponding author: jrlantaca.me@tip.edu.ph
Although fuzzy-failure modes and effects analysis (Fuzzy-FMEA) is one of the risk-based maintenance approaches that has been used to devise or to improve an existing preventive maintenance program in various industries and settings, applying the technique in the context of sewage treatment facility (STF) is lacking. The proponent investigated the cause of failing effluent parameters of a high-rise residential property through the combination of the Ishikawa Diagram and 5-Whys, then the technique was applied and improved using the data gathered from qualified respondents with different exposure, and backgrounds, among others who answered 10-fuzzy scales regarding the severity, occurrence, and detectability of each failure modes, and ranked the importance of each chamber of an SBR-type STF. Results revealed that the Refined FRPN values emphasized the failure modes with relevance to each other by obtaining values within their functional counterpart resulting in a more apt categorization and prioritization than the FRPN. The paper shows that Fuzzy-FMEA is successful in devising a risk-based approach for SBR-type STF for high-rise residential property with an effective means of addressing the aggravating effluent parameters in the maintenance aspect to comply with the Philippine Department of Environment and Natural Resources (DENR) Department Administrative Order (DAO) 2016-08.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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