Sustainable facility management (FM) is one of the important thing for higher education institutions (HEIs), particularly in South Africa, because of aging infrastructure, constrained budgets, and deferred maintenance continue to affect the service delivery in a required way. To address the issue, the present study has developed a predictive model for sustainable FM using one of the mu ltivariate technique named multiple linear regression, by collecting the data from 326 participants across five campuses of the Tshwane University of Technology. A self-structured questionnaire was prepared and utilized to collect the responses on FM practices, which were later analyzed using various statistical techniques such as exploratory factor analysis (EFA), Pearson correlation, and multiple linear regression (MRA). With the help of Exploratory Factor Analysis (EFA), six valid construct were confirmed, namel y Strategies Used in Facility Management, Lean Six Sigma (LSS), Root Causes of Poor Facility Management, Facility Defaults, Factors Contributing to Poor Fa cility Management, and the Sustainable Facility Management Scheme. The regression model was found to be statistically significant with F- Statistic =29.247 & p-value