Multi-class queueing systems widely used in operations research and management typically experience ambiguity in real-world settings in the form of unknown parameters. For such systems, we incorporate robustness in the control policies by applying a data-driven percentile optimization technique...

A promising new model for the employee health plans of large firms bypasses insurers, instead using direct contracts with hospitals which have been designated as centers of excellence. The authors describe how combining this model with cutting edge analytics could revolutionize the delivery of...

Hospital Emergency Departments (ED's) typically use triage systems that classify and prioritize patients almost exclusively in terms of their need for timely care. Using a combination of analytic and simulation models, we demonstrate that adding an up-front estimate of patient complexity to...

US healthcare is undergoing a period of substantial change, with many hospitals vertically integrating with physician practices. Such integration could improve quality by promoting care coordination, but could also worsen it by impacting care delivery. Evidence on how physicians alter their...

Assigning partially flexible resources (servers) effectively to various jobs (customers or products) in real-time is a fundamental problem in many applications such as service centers, manufacturing systems, and communication networks. Although the potential benefits of using flexible servers to...

There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical conditions. However, the degree to which such algorithms can affect clinical decision-making is not well understood. Our work attempts to...

To increase resilience in supply chains, we investigate the optimal design of flexibility in the backup system. We model the dynamics of disruptions as Markov chains, and consider a multi-product, multi-supplier supply chain under dynamic disruption risks. Using our model, we first show that a...