The automotive industry faces significant environmental, social, and economic challenges, driving the need for effective sustainability assessment strategies. This research employs the fuzzy analytic hierarchy process (AHP) to evaluate key sustainability criteria within automotive operations. Fuzzy AHP revealed that in the economic category, production cost had the highest average normalized weight at 0.38, followed by operating and maintenance cost at 0.21. For environmental criteria, global-warming potential was most critical with a weight of 0.29, and eco- and human toxicity at 0.23. In the social category, vehicle users and pedestrian safety ranked highest at 0.23, with mobility capability at 0.18. These insights suggest that prioritizing production cost and addressing global-warming potential can significantly impact economic and environmental sustainability. Furthermore, focusing on vehicle users and pedestrian safety can enhance social responsibility. This work demonstrates how fuzzy AHP can effectively address complex sustainability issues and guide the development of informed strategies to improve overall sustainability in the automotive industry.