|Ph.D Student||Marmor Yariv|
|Subject||Emergency-Departments Simulation in Support of Service-|
Engineering: Staffing, Design and Real-Time
|Department||Department of Industrial Engineering and Management||Supervisor||Professor Emeritus Avishai Mandelbaum|
|Full Thesis text|
The Emergency Department (ED) of a modern hospital is a highly complex system. Indeed, it gives rise to numerous managerial challenges from the Service Engineering area, spanning the full spectrum of operational, clinical and financial perspectives, over varying horizons: operational - few hours or days ahead, tactical - weeks or a few months ahead, or strategic - months to years ahead. Since realistic ED models are often intractable analytically, one resorts to simulation for an appropriate framework to address these challenges, which is what we do here. We start with short-term prediction and operational planning (physicians and nurse staffing) over several hours or days ahead. To this end, we implement a novel simulation-based technique that utilizes the concept of offered-load and discover that it performs better than a prevalent alternative. Next, we evaluate ED staff scheduling that adjusts for mid-term changes (tactical horizon), and then we analyze the long-term benefits of using real-time tracking in the ED (strategic horizon). We also search for "best" ED operational models, via simulation and based on real data, where DEA (Data Envelopment Analysis) is the tool used to identify models that are efficient in a given operational environment. Finally, we present a methodology that enables the creation of complex simulations by reusing existing simulation submodels.