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<p>Currently, the management of wastewater systems is both a complex and costly problem. Urban infrastructure failures have become an increasing concern over the last few decades, as many structures are approaching the end of their useful life. Our contribution concerns the development of a decision support tool intended for sanitation service managers. This model focuses on prioritizing maintenance work on sanitation networks based on their level of degradation. The methodology developed is based on the combination of two methods, namely the Fuzzy Analytic Hierarchy Process (FAHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE II). The results of the first method show that the collapse criterion is the most important, with a weight of 30.74%<b>,</b> followed by the structural defect criterion <b>(</b>STR = 17.27%). The second method shows that the highest maintenance priority is assigned to manifold number 2, with a priority of 29.14%, followed by manifold number 10, with a priority of 13.28%. By combining FAHP and PROMETHEE II, this research demonstrates a successful approach to designing efficient network management and maintenance systems.</p> Graphical Abstract <p></p>

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The combination of PROMETHEE II and FAHP methods for prioritizing maintenance work in a sanitation network

  • 期刊论文

  • 发表日期：

    2025年6月30日

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  • Cherifa Mezhoud,
  • Ali Berreksi,
  • Rachid Sahnoune,
  • Abdelhamid Bedjou,
  • Faiza Bouchraki

摘要

Currently, the management of wastewater systems is both a complex and costly problem. Urban infrastructure failures have become an increasing concern over the last few decades, as many structures are approaching the end of their useful life. Our contribution concerns the development of a decision support tool intended for sanitation service managers. This model focuses on prioritizing maintenance work on sanitation networks based on their level of degradation. The methodology developed is based on the combination of two methods, namely the Fuzzy Analytic Hierarchy Process (FAHP) and the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE II). The results of the first method show that the collapse criterion is the most important, with a weight of 30.74%, followed by the structural defect criterion (STR = 17.27%). The second method shows that the highest maintenance priority is assigned to manifold number 2, with a priority of 29.14%, followed by manifold number 10, with a priority of 13.28%. By combining FAHP and PROMETHEE II, this research demonstrates a successful approach to designing efficient network management and maintenance systems.

Graphical Abstract