This study addresses complexities in Home Care Services (HCS) through an integrated approach, combining an Integer Linear Programming-based optimization model for tactical decisions and an Agent-Based Modeling simulation for operational uncertainties. The research spans the formalization of the Home Care problem, design and testing of optimization models, computational results analysis, and simulation framework development. Key findings highlight effective caregiver scheduling and resource allocation, emphasizing the importance of synergy between models. The study provides comprehensive insights, computational results, and future development recommendations.