This study presents a bibliometric analysis of remanufacturing policy research, focusing on key methodologies, thematic clusters, and trends that shape the field. The research explores policy frameworks supporting circular economy principles, resource efficiency, and environmental sustainability. By mapping research methodologies such as Life Cycle Assessment (LCA), simulation modeling, and optimization models, this study highlights their applications in remanufacturing policies and decision-making. The findings indicate that while reverse logistics, closed-loop supply chains, and sustainability policies are central themes, emerging areas like carbon emissions, pricing models, and game theory remain underexplored. The study identifies gaps in policy-focused research, emphasizing the need for interdisciplinary approaches integrating economic, regulatory, and technological dimensions. Recommendations for future research include enhancing policy-driven modeling, incorporating agent-based modeling and simulation (ABMS) and system dynamics (SD), and expanding the role of decision support systems. These insights contribute to advancing sustainable remanufacturing policies aligned with circular sustainability goals.

Published in Evergreen, Volume 13, Issue 01. Citation formats available via DOI link.