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 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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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. |
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| 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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| 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 |
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