Companies are eager to have a smart supply chain especially when they have a dynamic system. Industry 4.0 is a concept which concentrates on mobility and real-time integration. Thus, it can be considered as a necessary component that has to be implemented for a dynamic vehicle routing problem. The aim of this research is to solve large-scale DVRP (LSDVRP) in which the delivery vehicles must serve customer demands from a common depot to minimize transit costs while not exceeding the capacity constraint of each vehicle. In LSDVRP, it is difficult to get an exact solution and the computational time complexity grows exponentially. To find near-optimal answers for this problem, a hierarchical approach consisting of three stages: ?clustering, route-construction, route-improvement? is proposed. The major contribution of this paper is dealing with LSDVRP to propose the three-stage algorithm with better results. The results confirmed that the proposed methodology is applicable.