Robust Chance Constraint Optimization in Healthcare Operations
Sanjay Mehrotra, Northwestern University
Risk aversion is natural when planning for healthcare services. Surgery planning and assigning example will be used to illustrate co-advancement in chance-constrained optimization research to allow consideration of risk-aversion in operational planning problems. We will show the implications of robustness towards out-of-sample risk aversion, and problem solvability when a limited number of data samples are available. We will also see how the classical cut-generation theory is extensible to the more general settings of robust chance constraints.