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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Bibliographic Details
Published in:Environmental monitoring and assessment Vol. 197; no. 6; p. 670
Main Authors: Kulkarni, Priyanka Shrikant, Jadhav, Omprakash
Format: Journal Article
Language:English
Published: Cham Springer International Publishing 23.05.2025
Springer Nature B.V
Subjects:
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
Average lifespan
E-waste recycling
Binary integer programming
Optimization
Health hazards
Recyclable capabilities
ISSN:1573-2959, 0167-6369, 1573-2959
Online Access:Get full text
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Summary: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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ISSN:1573-2959
0167-6369
1573-2959
DOI:10.1007/s10661-025-14108-0