Workplaces operating around the clock often use rotating shift schedules that repeat throughout the year, except for the summer schedule, which is non-cyclic due to vacations resulting in reduced staff availability. This thesis presents the development of an integer programming model designed to combine the formulation of a year-long rotating workforce schedule with special adjustments for the summer months. Both hard and soft constraints, the latter represented as objective functions, are integrated into the model to ensure schedule feasibility and quality. A case study tests various objective functions with different prioritising orders and analyses their impacts on each other. This reveals that the optimisation order, whether prioritising the summer or rotating schedule first, does not significantly affect the outcome. Comparing the generated schedule to a manually created one demonstrates that the model produces a high-quality schedule, successfully meeting the annual rotating requirements and the special adjustments needed for the summer period. Additionally, the model offers significant time savings and increased efficiency in schedule creation.