Multi-attribute sustainability assessment of wastewater treatment technologies using combined fuzzy multi-criteria decision-making techniques

Attri, Shubham Dutt; Singh, Shweta; Dhar, Atul; Powar, Satvasheel

doi:10.1016/j.jclepro.2022.131849

Cited by 33 publications

(14 citation statements)

References 32 publications

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“…MCDA is also explained as a set of methods that combine alternative decisions with quantitative and qualitative outcomes in a compact solution. This is in line with the ability of the Operations Research field to provide optimal solutions where the decision-making process is associated with multiple criteria [8]. Meanwhile, one of the problems normally encountered during the application of MCDA is the selection of an aggregation procedure to solve the decision problem [9].…”

Section: Introductionmentioning

confidence: 54%

Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning

Riandari,

Defit,

Yuhandri

2024

JAIT

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This research aimed to introduce the Multi-Objective Preference Analysis (MOPA) method within Multi-Criteria Decision Analysis (MCDA) to address complex decision problems. This method was applied to improve accuracy by using modified criterion weights through pairwise comparisons. It also combined modified criterion weights with normalized alternative performance ratings using linear max techniques. Moreover, the efficacy of the MOPA method was determined in the context of Islamic tourism development. The results showed that the method consistently produced high confidence weight values compared to the other MCDA methods. This was characterized by the closeness of its values to 1 on the [0-1] scale as showed by the 0.917 recorded for the MOPA, 0.078 for Analytic Hierarchy Process (AHP), 0.066 for SAW, 0.697 for Simple Additive Weighting (SAW), and 0.700 for Multi-Objective Optimization by Ratio Analysis (MOORA). The precision associated with this method assisted Islamic tourism development by improving the decision-making quality. Furthermore, sensitivity analysis was used to confirm the robustness of the method in line with the variations in criteria weights in order to ensure its suitability for dynamic decision environments. The variance test showed that the statistical significance (p < 0.05) of the proposed MOPA method was appropriate, showing it was an effective decision-making tool compared to other methods. Therefore, the MOPA method was introduced as a powerful and reliable tool to improve decision-making, specifically in the context of Islamic tourism development. This research contributed to the body of knowledge by offering a more objective and robust method to have better informed and optimized outcomes.

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Section: Introductionmentioning

confidence: 54%

Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning

Riandari,

Defit,

Yuhandri

2024

JAIT

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“…Wastewater is treated in the first stage by mechanical processes (draining and sedimentation) and in the second stage biologically (wastewater is processed by microorganisms that use it as food and bind various chemical compounds, which then must be removed) [ 2 ]. Biological processes require very precise regulation of conditions (temperature and time/flow rate), and any deviations may lead to the death of the favorable microorganisms and possibly the development of unfavorable ones.…”

Section: Characteristics Of the Pump Station In The Sewage Treatment ...mentioning

confidence: 99%

“…However, there are examples of such applications in which optimization and minimization of costs, especially maintenance costs, cannot be the most important management criterion. One such example is sewage treatment plants that must operate continuously and reliably 24/7 [ 2 ]. In the event of a major failure, which involves stopping the flow and treatment of wastewater, the environment may be contaminated, and high fines may be payable [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…The main pumping station of a wastewater treatment plant (WWTP) or water treatment plant (WTP) is usually designed as a multi-pump unit consisting of redundant systems due to the need to be flexible in terms of varying operating conditions (e.g., temperatures, depending on climate/season of the year; varying amounts of incoming wastewater, solid, and other contaminants; and chemicals, in the case of treatment of not only municipal sewage but also from industrial plants) [ 8 , 9 ]. In such conditions, it is necessary to minimize the maintenance costs and, at the same time, maintain the continuity of operation, already taken into consideration, in part, thanks to the redundancy of the systems [ 2 , 10 ]. The ability to anticipate impending failures by monitoring the available operating parameters of the pumps and performing preventive service work at a convenient time allows these criteria to be met [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

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Condition-Based Failure-Free Time Estimation of a Pump

Ćwikła

Paprocka

2023

Sensors

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Reliable and continuous operation of the equipment is expected in the wastewater treatment plant, as any perturbations can lead to environmental pollution and the need to pay penalties. Optimization and minimization of operating costs of the pump station cannot, therefore, lead to a reduction in reliability but rather should be based on preventive works, the necessity of which should be foreseen. The purpose of this paper is to develop an accurate model to predict a pump’s mean time to failure, allowing for rational planning of maintenance. The pumps operate under the supervision of the automatic control system and SCADA, which is the source of historical data on pump operation parameters. This enables the research and development of various methods and algorithms for optimizing service activities. In this case, a multiple linear regression model is developed to describe the impact of historical data on pump operation for pump maintenance. In the literature, the least squares method is used to estimate unknown regression coefficients for this data. The original value of the paper is the application of the genetic algorithm to estimate coefficient values of the multiple linear regression model of failure-free time of the pump. Necessary analysis and simulations are performed on the data collected for submersible pumps in a sewage pumping station. As a result, an improvement in the adequacy of the presented model was identified.

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“…Water treatment involves the process of removing contaminants from sewage or used water, ensuring that it is converted into effluents that are free from toxins before being released into the environment. This is especially critical when dealing with water containing recalcitrant contaminants [3]. Various methods are employed for water and wastewater treatment, including nanofiltration, biological treatment, activated carbon adsorption, ultrafiltration, reverse osmosis, and sedimentation, among others.…”

Section: Introductionmentioning

confidence: 99%

Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review

Sharma,

Kumar,

Pant

et al. 2023

IEEE Access

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The incorporation of numerous technical, economic, environmental, and social benchmarks makes multi-criteria decision-making (MCDM) a reliable decision-making tool in the field of sustainable development. To achieve sustainability target six, which is related to clean water and sanitation, wastewater technology comes into play. They bring with them complicated scenarios with several indicators, criteria, and conflicting objectives. This article provides a thorough review of MCDM methods, including pure techniques such as AHP, TOPSIS, VIKOR, ELECTRE, and others, as well as hybrid MCDM approaches like the non-structural fuzzy decision support system (NSFDSS) in conjunction with Artificial Neural Network, applied to wastewater treatment technologies or processes to remove water contamination. This review draws upon articles sourced from the "Scopus" and "Web of Science (WoS)" databases, covering the period from 2015 to 2023. The primary aim of this endeavor is to offer a current and comprehensive review of the literature pertaining to MCDM with the intent of aiding researchers and environmental engineers in their quest to identify the most appropriate techniques for tackling the complex challenges associated with wastewater treatment (WWT). The results demonstrate the versatile application of MCDM in various scenarios for the effective removal of water contaminants. For example, these applications encompass assessing the efficacy of adsorbents for the removal of pollutants and effluents from wastewater, determining the optimal WWT technology from a range of alternatives, evaluating the performance of both metallic (such as ZnO and MnO) and non-metallic (like activated carbon) nanomaterial adsorbents, and scrutinizing strategies to minimize water consumption. Furthermore, within the context of specific WWT technologies, MCDM identifies and highlights critical criteria that are deemed instrumental in enhancing system efficiency for the removal of pollutants. Ultimately, MCDM methods represent a contemporary decision support system. In future research, the potential utilization of MCDM can extend to tracking the environmental impacts of nanomaterial adsorbents released from treatment plants into the surrounding ecosystem.INDEX TERMS Multi-criteria decision-making (MCDM), Wastewater treatment (WWT), Water pollution.

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Multi-attribute sustainability assessment of wastewater treatment technologies using combined fuzzy multi-criteria decision-making techniques

Cited by 33 publications

References 32 publications

Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning

Multi-Objective Preference Analysis: A Novel Multi-Criteria Decision Analysis Approach for Smart Sharia Tourism Planning

Condition-Based Failure-Free Time Estimation of a Pump

Wastewater Treatment and Multi-Criteria Decision-Making Methods: A Review

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