This seminar will take place on October 2 at 15:00. The seminar will be in a hybrid format with:
- in-person session in the IST Alameda Campus, Department of Engineering and Management's Meeting Room
- online, via Zoom https://zoom.us/j/91042632343?pwd=56a9bHhVbLERDh1D76X00kBl12sbdU.1
Our seminars are free to attend and open to everyone. Please share with whomever may be interested.
Summary
This seminar presents two topics from healthcare operations management. First, it addresses ward allocation in hospital layout planning. Hospitals face stochastic patient demand, yet typical hospital layouts feature fixed-sized wards. The study considers flexible nursing units, where rooms can be dynamically assigned to wards according to each ward's varying demand, and proposes a sim-heuristic that minimizes the estimated distances nursing staff need to travel to attend to patients, demonstrating the approach for a Danish hospital currently under construction. Then, the seminar turns to the concept of hospital-at-home, which is currently receiving a lot of attention from researchers in medicine, nursing, healthcare governance and economics, among other fields. After a brief introduction to the concept, with examples of some of the challenges currently keeping the operations research and operations management community busy, the discussion broadens to healthcare-at-home, a concept spanning a more end-to-end system perspective, with the aim of sparking a discussion on future research in this broader context.
Speaker's bio
Allan Larsen is a Professor in Operations and Supply Chain Management. Allan heads the Operations and Supply Chain Management Section at the Department of Technology, Management and Economics (DTU Management) at the Technical University of Denmark. Allan Larsen holds an MSc degree in Engineering in Applied Mathematics and a PhD in Operations Research from the Technical University of Denmark. Allan Larsen's research applies operations methodologies such as mathematical programming (meta)-heuristics, and simulations to complex planning problems within supply chain management, logistics and healthcare operations management. Specific research interests include freight transport and logistics, urban freight transport (city logistics), healthcare supply chains and logistics, and optimisation within public transport, i.e. planning and optimisation of resources such as crew and fleets.