Circular–Sustainable–Reliable Waste Management System Design: A Possibilistic Multi-Objective Mixed-Integer Linear Programming Model

Waste management involves the systematic collection, transportation, processing, and treatment of waste materials generated by human activities. It entails a variety of strategies and technologies to diminish environmental impacts, protect public health, and conserve resources. Consequently, providi...

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Published in:Systems (Basel) Vol. 12; no. 10; p. 435
Main Author: Tirkolaee, Erfan Babaee
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.10.2024
Subjects:
Case studies
Circular economy
Consumption
Costs
Decision making
Decision support systems
Effectiveness
Efficiency
Environmental impact
Environmental management
Human influences
Integer programming
Integrated approach
Linear programming
Maximization
Medical wastes
Mixed integer
Multiple objective analysis
Natural resources
Objectives
Optimization
Pandemics
possibilistic multi-objective mixed-integer linear programming
Public health
Queuing theory
Recycling
Recycling (Waste, etc.)
Refuse and refuse disposal
reliability
Reverse logistics
Sensitivity analysis
Sustainable development
Systems design
Waste disposal
Waste management
waste management system
Iran
ISSN:2079-8954, 2079-8954
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Abstract Waste management involves the systematic collection, transportation, processing, and treatment of waste materials generated by human activities. It entails a variety of strategies and technologies to diminish environmental impacts, protect public health, and conserve resources. Consequently, providing an effective and comprehensive optimization approach plays a critical role in minimizing waste generation, maximizing recycling and reuse, and safely disposing of waste. This work develops a novel Possibilistic Multi-Objective Mixed-Integer Linear Programming (PMOMILP) model in order to formulate the problem and design a circular–sustainable–reliable waste management network, under uncertainty. The possibility of recycling and recovery are considered across incineration and disposal processes to address the main circular-economy principles. The objectives are to address sustainable development throughout minimizing the total cost, minimizing the environmental impact, and maximizing the reliability of the Waste Management System (WMS). The Lp-metric technique is then implemented into the model to tackle the multi-objectiveness. Several benchmarks are adapted from the literature in order to validate the efficacy of the proposed methodology, and are treated by CPLEX solver/GAMS software in less than 174.70 s, on average. Moreover, a set of sensitivity analyses is performed to appraise different scenarios and explore utilitarian managerial implications and decision aids. It is demonstrated that the configured WMS network is highly sensitive to the specific time period wherein the WMS does not fail.
AbstractList Waste management involves the systematic collection, transportation, processing, and treatment of waste materials generated by human activities. It entails a variety of strategies and technologies to diminish environmental impacts, protect public health, and conserve resources. Consequently, providing an effective and comprehensive optimization approach plays a critical role in minimizing waste generation, maximizing recycling and reuse, and safely disposing of waste. This work develops a novel Possibilistic Multi-Objective Mixed-Integer Linear Programming (PMOMILP) model in order to formulate the problem and design a circular–sustainable–reliable waste management network, under uncertainty. The possibility of recycling and recovery are considered across incineration and disposal processes to address the main circular-economy principles. The objectives are to address sustainable development throughout minimizing the total cost, minimizing the environmental impact, and maximizing the reliability of the Waste Management System (WMS). The Lp-metric technique is then implemented into the model to tackle the multi-objectiveness. Several benchmarks are adapted from the literature in order to validate the efficacy of the proposed methodology, and are treated by CPLEX solver/GAMS software in less than 174.70 s, on average. Moreover, a set of sensitivity analyses is performed to appraise different scenarios and explore utilitarian managerial implications and decision aids. It is demonstrated that the configured WMS network is highly sensitive to the specific time period wherein the WMS does not fail.
Audience Academic
Author Tirkolaee, Erfan Babaee
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CitedBy_id crossref_primary_10_1016_j_seps_2025_102315
crossref_primary_10_53623_idwm_v5i2_757
crossref_primary_10_3390_systems13060441
crossref_primary_10_1007_s10479_025_06610_y
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StartPage 435
SubjectTerms Case studies
Circular economy
Consumption
Costs
Decision making
Decision support systems
Effectiveness
Efficiency
Environmental impact
Environmental management
Human influences
Integer programming
Integrated approach
Linear programming
Maximization
Medical wastes
Mixed integer
Multiple objective analysis
Natural resources
Objectives
Optimization
Pandemics
possibilistic multi-objective mixed-integer linear programming
Public health
Queuing theory
Recycling
Recycling (Waste, etc.)
Refuse and refuse disposal
reliability
Reverse logistics
Sensitivity analysis
Sustainable development
Systems design
Waste disposal
Waste management
waste management system
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Title Circular–Sustainable–Reliable Waste Management System Design: A Possibilistic Multi-Objective Mixed-Integer Linear Programming Model
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Volume 12
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