This paper seeks to offer insight into cross training strategies that could be effective in aiding in alleviating the nurse shortage issue and its potential to negatively impact on patient safety and mortality. We develop optimization models to evaluate the benefits of cross-training, in...

Weather or terrorism-related disasters at seaports can lead to significant economic losses from vessel and cargo delays. In times of such disasters, port capacities and optimal shipment routings would change rapidly, requiring near real-time analyses for planning response operations. To address...

The nursing shortage in the United States poses a serious problem to hospitals, given that nurses provide an indispensable service within the healthcare system. This issue is expected to worsen, especially given the aging population of baby-boomers, which includes those that are part of the...

Ocean container carriers have implemented slow steaming (reduced vessel speeds) in recent years to improve fuel efficiency and lower greenhouse gas emissions. However, many shippers oppose the practice due to increased pipeline inventory associated with longer transit times. Given this conflict,...

The central counterparties dominating the market for the clearing of over-the-counter interest rate and credit derivatives are globally systemic. Employing methodologies similar to the calculation of banks’ capital requirements against trading book exposures, this paper assesses the...

This paper assesses the sensitivity of the risk buffers, or capital requirements, of central counterparties clearing over-the-counter derivatives trades to a range of model inputs. It finds capital requirements to be highly sensitive to whether key model parameters are calibrated on a...

This paper assesses the role that monetary policy plays in the decision to default using a General Equilibrium model with collateralized loans, trade in fiat money and production. Long-term nominal loans are backed by collateral, the value of which depends on monetary policy. The decision to...