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Abstract
This research provides a framework for assessing the buildings performance throughout exploring the suitable quantifiable core key performance Indicators (KPIs) by studying their effect on each other. The proposed framework is developed using system dynamics technique throughout using the software packages Vensim PLE® and STELLA for creating the causal diagram and Stock and Flow diagram respectively. The research methodology followed is mainly depending on studying and collecting information about the core key performance indicators introduced previously in past literatures. Moreover, study the correlation of these factors on each other based on an applied maintenance policy; considering the effective factors in a sensitivity analysis. The results reveal that changing some variables (e.g., man-hours consumed, energy consumption, effect of changing dollar price, cost of expired systems) could have an impact on building performance, maintenance and replacement efficiencies on the long run with time horizon 50 years. The model helps facility managers and executive management teams to determine the efficiency of the maintenance policy applied and selecting relevant KPIs affecting it, which in turn has an impact in the decision making process for the existing project/building under study