Treffer: 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 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. [ABSTRACT FROM AUTHOR]

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