Abstract: To address the issues of low efficiency, low resource utilization, and high human error rates in traditional manual fiber distribution during manufacturing process of optical cables, an intelligent fiber distribution algorithm based on a five-stage processing flow was designed and implemented. The algorithm included five stages: order sorting and A-knapsack grouping, B-knapsack grouping strategy, data aggregation and de-duplication, inventory allocation optimization, and scoring optimization and result output, achieving automatic matching and optimized allocation of order requirements and inventory resources. Using actual order data from a certain optical cable manufacturing enterprise as the test object, the algorithm was validated on an Intel i7-10700 processor and 16 GB memory environment. Results showed that for a 600 km skin-length optical cable order, traditional manual fiber distribution took an average of about 6 hours, while the intelligent fiber distribution algorithm completed the task in just 30 minutes, representing a processing efficiency improvement of approximately 11 times. Error rate of order allocation decreased from 15% to 2%, with an accuracy rate of 98%. At the same time, average number of returns to the warehouse decreased from 3 times per order to 1.2 times per order, and resource utilization increased by approximately 28.5%. Practical application showed that the algorithm could effectively improve fiber distribution efficiency, reduce the degree of manual intervention, and provide technical support for optical cable manufacturing enterprises to achieve digitalization and intelligence in fiber distribution operations.