| Driven by increased health expenditures, an ageing population, and long waiting lists, the majority of the hospitals is reconsidering the organisation of the internal processes. The challenge is to redesign the internal layout and control in such a way that both the interests of the patient and of the hospital are addressed. In our research we aim to develop mathematical models and techniques to analyse and support the design of the optimal logistical layout of a hospital. The output consists of decision support tools, (mathematical) models and techniques that capture the inherent complexity of healthcare processes, to analyse the relation between system configurations, optimized and robust system planning and control, and system performance. |