This study investigates Assembly Line Balancing problem using fuzzy mathematical modeling. The proposed approach incorporates fuzzy parameters to model imprecise task times and resource constraints, enabling a more realistic representation of variability in the assembly process. A mathematical model is developed using fuzzy sets and solved to minimize cycle time and balance workload across stations. A case study is presented to demonstrate the application of the method, comparing the results with traditional crisp approaches. The findings highlight the advantages of using fuzzy modeling in achieving robust and efficient solutions in uncertain production environments.