An optimization framework for electronic waste recycling: integrating cost-effectiveness and environmental considerations through binary integer programming

As e-waste consists of hazardous components, developing a cost-effective method at the user level is essential. This paper presents a binary integer programming (BIP) model designed to affordably manage e-waste by minimizing recycling costs. To achieve this goal, we considered factors such as the av...

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Vydané v:Environmental monitoring and assessment Ročník 197; číslo 6; s. 670
Hlavní autori: Kulkarni, Priyanka Shrikant, Jadhav, Omprakash
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 23.05.2025
Springer Nature B.V
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ISSN:1573-2959, 0167-6369, 1573-2959
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Abstract As e-waste consists of hazardous components, developing a cost-effective method at the user level is essential. This paper presents a binary integer programming (BIP) model designed to affordably manage e-waste by minimizing recycling costs. To achieve this goal, we considered factors such as the average life span, recycling capacity, recycling rate, and disposal rate of e-waste. By defining the hazard levels and average lifespan into categories of high, medium, and low, we have developed a system that optimizes the allocation of recycling methods based on the health hazard risk and longevity of devices. This approach ensures that high-hazard and short-lifespan devices receive priority for more intensive recycling efforts, whereas lower-risk and longer-lifespan devices can be handled using more cost-efficient strategies. The model also allows us to minimize the total costs and disposal costs for non-recycled devices. This study illustrates the theoretical model with a hypothetical numerical example to show how the model works, and we have proven that it is beneficial in encouraging responsible e-waste management as well as minimizing recycling costs.
AbstractList As e-waste consists of hazardous components, developing a cost-effective method at the user level is essential. This paper presents a binary integer programming (BIP) model designed to affordably manage e-waste by minimizing recycling costs. To achieve this goal, we considered factors such as the average life span, recycling capacity, recycling rate, and disposal rate of e-waste. By defining the hazard levels and average lifespan into categories of high, medium, and low, we have developed a system that optimizes the allocation of recycling methods based on the health hazard risk and longevity of devices. This approach ensures that high-hazard and short-lifespan devices receive priority for more intensive recycling efforts, whereas lower-risk and longer-lifespan devices can be handled using more cost-efficient strategies. The model also allows us to minimize the total costs and disposal costs for non-recycled devices. This study illustrates the theoretical model with a hypothetical numerical example to show how the model works, and we have proven that it is beneficial in encouraging responsible e-waste management as well as minimizing recycling costs.
As e-waste consists of hazardous components, developing a cost-effective method at the user level is essential. This paper presents a binary integer programming (BIP) model designed to affordably manage e-waste by minimizing recycling costs. To achieve this goal, we considered factors such as the average life span, recycling capacity, recycling rate, and disposal rate of e-waste. By defining the hazard levels and average lifespan into categories of high, medium, and low, we have developed a system that optimizes the allocation of recycling methods based on the health hazard risk and longevity of devices. This approach ensures that high-hazard and short-lifespan devices receive priority for more intensive recycling efforts, whereas lower-risk and longer-lifespan devices can be handled using more cost-efficient strategies. The model also allows us to minimize the total costs and disposal costs for non-recycled devices. This study illustrates the theoretical model with a hypothetical numerical example to show how the model works, and we have proven that it is beneficial in encouraging responsible e-waste management as well as minimizing recycling costs.As e-waste consists of hazardous components, developing a cost-effective method at the user level is essential. This paper presents a binary integer programming (BIP) model designed to affordably manage e-waste by minimizing recycling costs. To achieve this goal, we considered factors such as the average life span, recycling capacity, recycling rate, and disposal rate of e-waste. By defining the hazard levels and average lifespan into categories of high, medium, and low, we have developed a system that optimizes the allocation of recycling methods based on the health hazard risk and longevity of devices. This approach ensures that high-hazard and short-lifespan devices receive priority for more intensive recycling efforts, whereas lower-risk and longer-lifespan devices can be handled using more cost-efficient strategies. The model also allows us to minimize the total costs and disposal costs for non-recycled devices. This study illustrates the theoretical model with a hypothetical numerical example to show how the model works, and we have proven that it is beneficial in encouraging responsible e-waste management as well as minimizing recycling costs.
ArticleNumber 670
Author Jadhav, Omprakash
Kulkarni, Priyanka Shrikant
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StartPage 670
SubjectTerms Atmospheric Protection/Air Quality Control/Air Pollution
Cost effectiveness
Cost-Benefit Analysis
Costs
Devices
Earth and Environmental Science
Ecology
Ecotoxicology
Electronic waste
Electronic Waste - analysis
Electronic Waste - economics
Electronic Waste - statistics & numerical data
electronic wastes
Environment
Environmental Management
Hazardous wastes
Health hazards
Integer programming
Life span
Longevity
Models, Theoretical
Monitoring/Environmental Analysis
Recycling
Recycling - economics
Recycling - methods
risk
theoretical models
Waste management
Waste Management - economics
Waste Management - methods
Waste recycling
Title An optimization framework for electronic waste recycling: integrating cost-effectiveness and environmental considerations through binary integer programming
URI https://link.springer.com/article/10.1007/s10661-025-14108-0
https://www.ncbi.nlm.nih.gov/pubmed/40407965
https://www.proquest.com/docview/3207749697
https://www.proquest.com/docview/3206989023
https://www.proquest.com/docview/3242063133
Volume 197
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