In order to better improve the load-bearing capacity of the tipping table, this paper takes the tipping table as the research object. The tipping table is used in a new type of mold that can produce components of various sizes. For this application scenario, an optimization design method for the structural parameters is proposed. First, consider the varying forces on the tipping table during the overturning process. The multi-condition correlated variable density topology optimization method (MCCVD-TOM) is used in the method to obtain the material distribution form, and the structural optimization design of the tipping table is carried out based on the topology optimization results. Then, a multi-objective optimized response surface model (MOO-RSM) of parameter variation and maximum equivalent effective force was established, and a multi-objective genetic algorithm (MOGA) was used to solve it, so as to obtain the optimal combination of each parameter and thus carry out a parameter-optimized design of the tipping table. The results show that the proposed design method improves the structural rigidity and strength of the tipping table, and improves the forming quality of precast concrete components, providing guidance for the design of tipping tables.