In modern manufacturing, the optimal matching of workstations between sequential process steps is directly related to the continuity of production lines and overall production efficiency. Due to significant variations in processing times for different product types across various workstations, as well as the direct impact of the physical layout distances between process steps on product transfer efficiency, selecting an appropriate workstation matching strategy can enhance equipment utilization and reduce total completion time. This paper focuses exclusively on the constraint issues associated with optimal workstation matching between consecutive process steps, wherein, when the product’s optimal workstation (i.e., the one with the shortest processing time) is occupied, evolutionary game theory is employed to decide whether to wait for the optimal workstation to become available or to proceed directly to another workstation, thus facilitating a coordinated continuous production process and reducing overall processing time. The results of simulation experiments indicate that this method is markedly effective in addressing the aforementioned issues.