The core step in implementing D-RMS is configuration design, where the dividing point decision is crucial. A multi-objective optimization method for the configuration design of D-RMS is proposed by optimizing the dividing point based on NSGA-II. First, a multi-objective optimization model is formulated by considering dedicated, flexible, and reconfigurable machine tools, incorporating factors such as machine tool investment costs, reconfiguration costs, reconfiguration time, and delayed reconfiguration. The dividing point serves as the decision variable and must be an integer, making this a multi-objective integer programming problem. Second, the Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) is employed to solve the proposed optimization model. Finally, a case study is conducted to validate the proposed configuration design method.