<p>In the twenty-first century, electrical and electronic equipment are indispensable components of our daily lives. As a result, enormous quantities of electrical and electronic waste (e-waste) are produced. e-waste management is crucial in mitigating environmental impacts and promoting human health. For this proper e-waste recovery, refurbishing, recycling, reuse, and disposal are essential. Establishing effective refurbishing of e-waste is a significant milestone in minimizing e-waste and carbon emission while maximizing profit. The present study introduces a multi-objective solid transportation model that transports refurbished electronic and electrical products from refurbish centers to retail stores. The model proposes to maximize profit and minimize carbon emission while refurbishing e-waste. Uncertainty occurs more often in the e-waste refurbishing process; to address this uncertainty, pentagonal fuzzy numbers were used to obtain crisp form. A case study from Chennai city, India, is considered. The solution obtained by using the global criterion method and the interactive fuzzy satisficing method was implemented with the Lingo software, along with sensitivity analysis, which is carried out for the proposed model. These results highlight the model’s potential to significantly minimize the e-waste and carbon emission while maximize profit. Furthermore, the study stated beneficial managerial insights, highlighting the significance of strategic e-waste management.</p>