<p>The surgical suite (SS) is one of the most critical and resource-intensive hospital departments. Inefficient spatial arrangements can increase travel distances, reduce workflow efficiency, and negatively affect medical staff performance and patient care. However, designing an optimal SS layout is a challenging task due to the complex relationships among rooms, personnel, equipment, and clinical activities. This study addresses the problem of SS layout optimization by developing a multi-objective mixed-integer linear programming (MILP) model. The aim is to simultaneously minimize the intra-suite travel costs and maximize functional adjacency among rooms. The optimization framework was implemented using ILOG CPLEX 12.8 and MATLAB R2022a. To validate the proposed approach, two room configurations comprising thirteen and nine functional spaces were investigated through a case study of a newly planned Egyptian private hospital. This work integrates an adjacency index within the developed framework to improve compliance with healthcare design requirements. Different optimization scenarios and adjacency constraints were evaluated to assess their influence on layout quality and computational performance. The findings demonstrated that incorporating adjacency constraints significantly improved room arrangements and produced conceptually optimized layouts. The nine-room configuration achieved superior computational performance and more practical layouts than the thirteen-room configuration. The proposed framework provides healthcare planners with a decision-support tool for generating an efficient SS layout, reducing reliance on trial-and-error design approaches.</p>