In today's rapidly advancing electronics industry, the widespread use of electrical and electronic equipment has made sustainable management of end-of-life (EOL) equipment a pressing need. A global system is required to facilitate informed decision-making regarding e-waste. Manufacturers must therefore devise strategies for effectively managing products during the EOL phase. This article introduces a novel framework for managing e-waste during the EOL phase to identify the most appropriate EOL options to minimize e-waste. The proposed framework harnesses the power of Twitter as a data source, utilizing data mining techniques to extract consumer opinions on e-waste. The article also outlines the development of a Fuzzy Analytic Hierarchy Process method and a multi-objective mathematical framework, enabling efficient decision-making in EOL processes based on e-waste information obtained from Twitter data. The study's findings have the potential to assist equipment manufacturers in identifying flaws in electrical and electronic equipment by analyzing customer opinions shared on social media platforms. Furthermore, by analyzing consumer sentiment towards e-waste, manufacturers can gain a deeper understanding of customer perspectives and develop appropriate strategic plans for selecting suitable EOL processes for returned products. This study underscores the significance of social media data in addressing e-waste management challenges, showcasing the profound impact of customer opinions.
