Current surgical scheduling system has difficulties to handle unpredictable events or uncertainties. Source of uncertainties may come from the patient or the surgery itself, where several cases require immediate changes in data, such as when surgery delays or cancellation occurs on the same day. The study aimed to model the uncertainties for managing identified uncertainties during the continuous scheduling, framed by resilience concept to cope with the system fragility. In order to be able to control and adjust any changes which may affect the surgery schedule of the day, we provide alternatives of solution rather than strictly decide the best valued options. We identified dimensions of uncertainties and categorized them based on the resilience concept, computed the impact value of potentially conflicted resources as a result of schedule change. With the model applied, we would provide a list of most acceptable and less vulnerable alternatives for anesthesiologist as a scheduler to build resilience in the surgical scheduling.