Simulation technology is widely used in various industry scenarios include container transferring management at the seaport. As a complex system, there is a huge number of factors that could affect the performance of container terminal input and output, like the parameter of the container terminal and the container moving equipment’s working policies. I apply simulation technology to simulate the container terminal to predict different situations that could happen when some unexpected incidents occur. I proposed an innovative, flexible and accessible simulation model by using an open-source and process-driven discrete event simulation framework, SimPy. The simulation model, which is built by following the Four-Step, and combine the advantages of process-oriented and event-oriented to reduce the number of events, and enhance the information exchanging between each component, and provide the interface to simulate in microscopic approach to generate equipment working dataset, like equipment moving Spatio-temporal trajectories to support data level fidelity. The most crucial problem the container terminal equipment management faced was that local optimization could not guarantee global optimization. The simulation result can be reflected by the data logs generated by the simulation model, which can help the terminal reschedule the management policies and work out a best-so-far solution.