Towards a framework to design product service system-based mobile phone waste management: A social media data analysis perspective

Abstract

ABSTRACT Today, extensive universal concern about sustainable development, strict environmental legislation, and extended producer responsibility has become important incentives to consider end-of-life (EOL) products. Thus, the tremendous volume of mobile phone waste worldwide calls for the design of plans for managing products duringconsumption and the EOL phases to achieve sustainable treatment and betterenvironmental performance. Therefore, a product-service system (PSS) as a sustainable solution has received great attention. To achieve this goal, companies have shifted their focus to continuous improvement of PSS that contributes to better environmental performance and minimizing waste generation during the product life cycle. In this regard, this study suggests a new decision support system (DSS) model that supports the PSS design; that the proposed DSS analyzes the Twitter platform using an ontology-based text mining approach and a data mining-based technique based on the self-organizing map (SOM) to collect mobile phone defects from the Twitter database. Finally, a multi-objective optimization model was used to optimize economic and environmental impacts during the consumption and EOL phase based on mobile phone defects. This study shows that the PSS concepts can prevent mobile phone waste from arising in today’s modern worldby using social media data.