This study introduces a novel, comprehensive surgery scheduling model for elective surgeries, aiming to enhance coordination among preoperative, operating room, and postoperative units. The model encompasses three objectives to achieve a trade-off among stakeholders' priorities: firstly, minimizing idle time and overtime in Operating Rooms (ORs); secondly, maximizing the interval between two consecutive patients in the operating room to facilitate stakeholder satisfaction; and thirdly, maximizing the number of scheduled patients from the waiting list throughout the scheduling horizon. Given the problem's NP-hard nature, a new meta-heuristic approach (NSGA-SA), the hybrid of Non-dominated Sorting Genetic Algorithm (NSGA-II) with Simulated Annealing (SA), is employed for problem solving. Following parameter setting of the solution approaches, multiple numerical experiments are conducted. The exact results obtained through the General Algebraic Modeling System (GAMS) are compared with the outcomes of the outlined meta-heuristic approach, demonstrating the effective performance of the proposed method.