Additive manufacturing (AM) is a revolutionary technological advancement that has the potential to contribute to sustainability in operations. The environmental benefits offered by AM have motivated firms to the adoption of this technology. However, the real-world examples of successful applications of AM are limited. This study aims to explore and prioritise the challenges faced during the adoption of AM to achieve circular economy goals. The fuzzy Delphi method is used to finalise the barriers with the help of experts’ opinions. Then, using the Best Worst Method, the prioritisation of barriers has been done. Finally, the Graph Theory Matrix approach is used for the quantification of barriers’ intensity for a case company in the Indian automotive manufacturing industry. The study uses TOE (Technology, Organisation, Environment) theory and Innovation Resistance theory in the context of AM adoption barriers to achieving circular economy goals. This study will help decision-makers to tackle their ambivalence towards the feasibility of implementing AM to achieve sustainability. The proposed self-assessment framework will help in evaluating barriers' intensity while implementing AM. Insights from the study will also be useful for developing effective strategies for AM.

增材制造 (AM) 是一项革命性的技术进步，有可能促进运营的可持续性。AM 提供的环境效益促使公司 采用这项技术。然而，在现实世界中成功应用 AM 的例子是有限的。本研究旨在探索并优先考虑采用 AM 以实现循环经济目标所面临的挑战。模糊德尔菲法用于在专家意见的帮助下确定障碍。然后，使用最佳最差方法，已完成障碍的优先级排序。最后，图论矩阵方法用于量化印度汽车制造业案例公司的壁垒强度。 该研究在 AM 采用 障碍实现循环经济目标的背景下使用 TOE（技术、组织、环境）理论和创新阻力理论。这项研究将帮助决策者解决他们对实施增材制造以实现可持续性的可行性的矛盾心理。建议的自我评估框架将有助于在实施 AM 时评估障碍的强度。该研究的见解也将有助于制定有效的增材制造策略。