Customer satisfaction and production cost can be improved significantly by the parallel production and resources sharing mode. To deal with integrated resources configuration and production scheduling problem for parallel precast production lines, based on the decomposition strategy and the alternative iterative optimization framework, an alternative hybrid fruit fly and tabu search algorithm (AHFOA_TS) is proposed to minimize total weighted tardiness. In the algorithm, a good initial solution is obtained using a fast heuristic method at first. Then, based on the characteristics of the problem, to enhance the local search ability, an effective discrete fruit fly optimization algorithm is designed to optimize order assignment and scheduling by integrating multiple local search methods. Subsequently, to reduce the number of invalid searches, a hybrid tabu search algorithm based on double-mutation operator and elite inferior solution crossover strategy is designed to optimize the allocation scheme of limited production resources in specific processes. The previous two phases run alternately until the termination criterion is met. For comparison, four hybrid intelligent algorithms are designed based on the alternative search framework. The calculation results verify that, the AHFOA_TS performs better than the other four algorithms for dealing with the proposed integrated optimization problem.