Planning of container terminal operations is a complex task, which requires the accurate scheduling of operations that are highly interrelated and uncertain. This study aims to investigate the integration of quayside operational planning functions under uncertain parameters by applying a reactive approach. A mixed integer linear programming (MILP) model is formulated to optimally assign and schedule quay cranes to multiple vessels simultaneously. The model will derive a baseline schedule that minimises the cost of waiting and departure delays of vessels. To address the uncertainty, a reactive strategy is formulated to generate a rescheduling plan when two types of disruptions, delays in vessel arrivals and quay crane breakdowns, occur during the operation. The reactive strategy will take the baseline schedule as input and derive a reactive schedule that minimizes the cost of deviations from the baseline schedule. The numerical experiments demonstrate the performance and effectiveness of the proposed approach to solve the integrated formulation under uncertainty.