This study develops a dynamic scheduling model aimed at optimizing eucalyptus replanting activities within the pulp and paper industry. Addressing the growing demand for sustainable raw material supply, the model integrates the full replanting cycle consisting of land preparation, planting, fertilization, maintenance, and harvesting into a unified system that supports effective land use and workforce allocation. Through simulations involving varying compartment sizes of 8, 9, and 10 hectares and labor configurations from 11 to 20 workers, the study identifies that a replanting unit of 8 hectares with 20 workers yields the shortest harvest age and highest timber output. Model validation via t-tests against real-world data confirms the accuracy of the simulations. Additionally, the model estimates that 2299 compartments are required to meet daily raw material needs of 570 tons and up to 7838 compartments can be scheduled to maximize land utilization. The proposed model serves as a decision support tool for plantation managers, enabling more efficient scheduling, sustainable resource management, and alignment between operational cycles and factory demand. The findings suggest a replicable and scalable framework that enhances productivity while maintaining ecological integrity, supporting the long-term viability of industrial eucalyptus plantations.