This work presents a novel rescheduling framework of the crude-oil operations based on a continuous-time representation. Abnormal events and uncertainties in the crude-oil tank farm area are considered and analyzed in this framework to improve the robustness of the final plan. A rescheduling model is proposed to handle the various uncertainties. Some managerial experiences and consistency rules can be set in the model for different needs and scenarios. A multiagent based simulator is developed as the validation part with uncertainties to simulate the real-world operations and test the optimization results. The goal of the rescheduling framework is providing a feasible and flexible robust plan and dealing with the disruptive events and uncertainties at the same time. The results of the case studies indicate our framework can support dynamic optimization of crude-oil operations under complex real-world environments.