The traditional approach to mass production involves maintaining a consistent volume of the same product type for an extended period, minimizing fluctuations in parameters outlined in the process plan to ensure planned production efficiency. However, in mixed human-machine production lines, delays in human work and machine malfunctions are common, leading to significant fluctuations in assumed parameters and decreased throughput during the production control period. This research aims to develop technology for swiftly establishing production lines, accounting for fluctuations such as variations in task duration in mixed human-machine production lines (proactive planning approach). To manage configurations robustly, the approach involves pre-generating alternative configurations based on fluctuation scenarios and selecting and implementing suitable configurations to maximize throughput within budget constraints. Additionally, a novel technology is proposed to enable production continuity through flexible re-planning in response to operational fluctuations (reactive planning approach). The goal is to reduce the production preparation period and maintain target throughput during operation. Validation of the introduced method is demonstrated through computational analysis using an industrial case study simulating a battery assembly line for electric vehicles. The experiments results show throughput improvement even with the implementation of a small number of alternative configurations. This research contributes to enhancing production line adaptability and efficiency in the face of fluctuating operational conditions, ultimately improving overall manufacturing performance and competitiveness.