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<p>Wastewater treatment plants (WWTPs) are commonly built to remove pollutants from wastewater discharges. However, due to various constraints, WWTPs are exposed to different malfunction problems that require decision-making. This study evaluates the operational performance of an industrial wastewater treatment plant (WWTP) using the Multi-Criteria Decision-Making (MCDM) approach, specifically the Analytical Hierarchy Process (AHP) method. This method considers multiple criteria and sub-criteria to assess the operational status of the WWTP. Our study focused on the Sebdou wastewater treatment plant (WWTP) of the DENITEXT textile complex located in Tlemcen, in the North west of Algeria. The objective was to evaluate the degree of malfunction of the WWTP, evaluate its purification performance and develop a management model to prevent unnecessary shutdowns. The level of dysfunction of the WWTP was determined using the Analytic Hierarchy Process (AHP) method. In this research, a three-tier structure was developed that adequately covers 73 subcriteria for internal factors and one level with three subcriteria for external factors. The main criteria (level 1) include external factors such as climatic parameters, electrical factors, and internal factors. These criteria are further divided into sub-criteria (level 2), which are then subdivided into sub-criteria (level 3). The criteria weights were calculated using the AHP method at each level, followed by assigning expert scores to determine the overall dysfunction score. The proposed method yielded results with a Global Dysfunction Score (GDS = 1.50), falling within the range of [0, 2]. This result indicates that the wastewater treatment plant (WWTP) at the DENITEXT textile complex is malfunctioning but does not currently pose any problems. The proposed model enables control of the WWTP in any situation. In case of a crisis, this model allows WWTP engineers to generate ideas to prevent plant shutdown and protect the environment from industrial pollution. This demonstrates the AHP method as an important and effective scientific tool for decision-making in the management of wastewater treatment plants. Our contribution may serve as a helpful tool for managers of the DENITEXT complex in enhancing the level of wastewater treatment.</p>

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Multi-criteria decision-making approach for evaluating wastewater treatment plant performance using the analytical hierarchy process: a case study of the Sebdou textile industry treatment plant (NW-Algeria)

  • 期刊论文

  • 发表日期：

    2025年8月23日

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  • Hanane Abdelmoumene,
  • Faiza Lallam,
  • Maamar Boumediene

摘要

Wastewater treatment plants (WWTPs) are commonly built to remove pollutants from wastewater discharges. However, due to various constraints, WWTPs are exposed to different malfunction problems that require decision-making. This study evaluates the operational performance of an industrial wastewater treatment plant (WWTP) using the Multi-Criteria Decision-Making (MCDM) approach, specifically the Analytical Hierarchy Process (AHP) method. This method considers multiple criteria and sub-criteria to assess the operational status of the WWTP. Our study focused on the Sebdou wastewater treatment plant (WWTP) of the DENITEXT textile complex located in Tlemcen, in the North west of Algeria. The objective was to evaluate the degree of malfunction of the WWTP, evaluate its purification performance and develop a management model to prevent unnecessary shutdowns. The level of dysfunction of the WWTP was determined using the Analytic Hierarchy Process (AHP) method. In this research, a three-tier structure was developed that adequately covers 73 subcriteria for internal factors and one level with three subcriteria for external factors. The main criteria (level 1) include external factors such as climatic parameters, electrical factors, and internal factors. These criteria are further divided into sub-criteria (level 2), which are then subdivided into sub-criteria (level 3). The criteria weights were calculated using the AHP method at each level, followed by assigning expert scores to determine the overall dysfunction score. The proposed method yielded results with a Global Dysfunction Score (GDS = 1.50), falling within the range of [0, 2]. This result indicates that the wastewater treatment plant (WWTP) at the DENITEXT textile complex is malfunctioning but does not currently pose any problems. The proposed model enables control of the WWTP in any situation. In case of a crisis, this model allows WWTP engineers to generate ideas to prevent plant shutdown and protect the environment from industrial pollution. This demonstrates the AHP method as an important and effective scientific tool for decision-making in the management of wastewater treatment plants. Our contribution may serve as a helpful tool for managers of the DENITEXT complex in enhancing the level of wastewater treatment.