|Ph.D Student||Lavy-Leibovich Sarel|
|Subject||Integrated Facility Management and its Implementation to|
Hospitals in Israel
|Department||Department of Civil and Environmental Engineering||Supervisor||Mr. Igal Shohet|
The increasing recognition of the influence of space upon productivity and the consequent requirements for a more economic operation of facilities has led to the development of the Facilities Management (FM) discipline. These changes encourage buildings’ owners and users to increase their expectations of facilities, without compromising the performance of these facilities. The primary objective of this research is, therefore, to identify the effect of defined parameters, such as the level of occupancy, on the performance of facilities. Based on this, research efforts focused on the development of an artificial intelligence model that is capable of integrating these parameters into a FM decision-making process.
This research developed a conceptual framework, proposing a comprehensive model that encompasses the following five core topics of Healthcare FM: Maintenance, Performance and Risk, Energy and Operations, Business Management, and Development. This research, however, focused on the maintenance, performance and risk aspects.
The core features in the developed model are as follows: (1) Performance prediction of building components, using linear and non-linear deterioration patterns of building components; (2) Age coefficient, for predicting the maintenance resources based on level of occupancy, type of environment, and age of building; and (3) Allocation of maintenance resources, using Case-Based Reasoning techniques.
The developed model was validated, and the sensitivity of its results was investigated in two Israeli acute-care hospitals. The outcomes attested to high correlation between the predicted indicators and the actual results, observed three years after these predictions. Yet, the effect of diverse patterns of deterioration on the building systems requires further research.