The growth of maritime trade has increased the complexity of port operations management, demanding more efficient solutions for allocating resources and planning activities. At the same time, sustainability has gained relevance in decision-making, requiring the integration of economic, environmental, and social objectives. Despite advances in literature, port planning and scheduling challenges are often addressed in isolation, overlooking their interdependencies. This research aims to develop a comprehensive approach to integrate berth allocation, quay crane assignment, and quay crane scheduling problems, including sustainability considerations and workforce management to improve operational efficiency. To achieve this, the research will explore mathematical programming, advanced metaheuristic algorithms, and artificial intelligence techniques to enhance decision-making and computational performance. The proposed methods will be validated in two phases: simulations using realistic data in hypothetical scenarios to evaluate their behaviour under different operating conditions, followed by their application in a real-world case study.