Fuzzy multi-objective programming: A systematic literature review

N Karimi, MR Feylizadeh, K Govindan… - Expert systems with …, 2022 - Elsevier
Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …

Decision support systems (DSS) for wastewater treatment plants–a review of the state of the art

G Mannina, TF Rebouças, A Cosenza… - Bioresource …, 2019 - Elsevier
The use of decision support systems (DSS) allows integrating all the issues related with
sustainable development in view of providing a useful support to solve multi-scenario …

Optimizing sustainable and renewable energy portfolios using a fuzzy interval goal programming approach

N Kouaissah, A Hocine - Computers & Industrial Engineering, 2020 - Elsevier
Determining the most sustainable renewable energy (RE) source portfolio that meets
decision-maker preferences is a complicated and uncertain multi-criteria decision-making …

Indicator based multi-criteria decision support systems for wastewater treatment plants

D Renfrew, V Vasilaki, E Katsou - Science of the Total Environment, 2024 - Elsevier
Wastewater treatment plant decision makers face stricter regulations regarding human
health protection, environmental preservation, and emissions reduction, meaning they must …

Energy consumption-based maintenance policy optimization

Á Bányai - Energies, 2021 - mdpi.com
The optimal predictive, preventive, corrective and opportunistic maintenance policies play
an important role in the success of sustainable maintenance operations. This study …

Optimizing renewable energy portfolios with a human development approach by fuzzy interval goal programming

A Hashemizadeh, Y Ju - Sustainable Cities and Society, 2021 - Elsevier
Human development (HD) is considered one of the main metrics for determining the
development level of a region. The central motivation of this research is establishing a …

Demand-response application in wastewater treatment plants using compressed air storage system: A modelling approach

M Cottes, M Mainardis, D Goi, P Simeoni - Energies, 2020 - mdpi.com
Wastewater treatment plants (WWTPs) are known to be one of the most energy-intensive
industrial sectors. In this work, demand response was applied to the biological phase of …

The operation of urban water treatment plants: A Review of smart dashboard frameworks

A Kiyan, M Gheibi, M Akrami, R Moezzi… - Environmental …, 2023 - repository.uwl.ac.uk
By locating useful characteristics and determining the perfect circumstances to meet ideal
water quality criteria, this study seeks to improve the operation of a water treatment facility …

Optimization of hydraulic fracturing wastewater management alternatives: A hybrid multi-objective linear programming model

N Shamloo, E Bakhtavar, K Hewage, R Sadiq - Journal of Cleaner …, 2021 - Elsevier
Production of high volumes of wastewater by hydraulic fracturing operations is a challenging
issue in the unconventional gas industry in North America. A scheduling-based solution is …

[HTML][HTML] Machine learning models for predicting water quality of treated fruit and vegetable wastewater

G Mundi, RG Zytner, K Warriner, H Bonakdari… - Water, 2021 - mdpi.com
Wash-waters and wastewaters from the fruit and vegetable processing industry are
characterized in terms of solids and organic content that requires treatment to meet …