Problem definition: Overbooking is commonly employed by outpatient clinics to counteract no-shows. State-of-the-art appointment scheduling systems are composed of a machine learning component, which predicts the individual patients’ no-show probability, and an optimization component, which...

Critical cross-border issues have emerged during the COVID-19 pandemic, especially pertaining to security, supply chain, and education, which has led to several new challenges for management. The balance between potential risks and economic benefits has attracted the attention of both industry...

The metaverse has become a very important phenomenon in society because of the emergence of new technologies. The widespread adoption of the metaverse has generated significant discussions about the challenges and opportunities it presents. We invited three panelists to present their personal...

The financial crisis which manifested in the United States in 2008, revealed the extent to which the largest and most interconnected financial institutions in the U.S. had become "too big to fail", i.e., so systematically and significantly interwoven with each other and the entire U.S. and...

How executive pay -- particularly cash-based incentive bonuses -- is structured can have as much if not greater consequences for firm-wide and systemic risk than the gross amount of executive pay. The public policy debate over executive pay in the banking sector has placed too much emphasis on...

An important phase of a wind farm design is solving the Wind Farm Layout Optimization Problem (WFLOP), which consists in optimally positioning the turbines within the wind farm so that the wake effects are minimized and therefore the expected power production maximized. Although this problem has...

Drug discovery is the process of designing compounds that have desirable properties, such as activity and non-toxicity. Molecule classification techniques are used along this process to predict the properties of the compounds in order to expedite their testing. Ideally, the classification rules...

Appointment no-shows are common in outpatient clinics and increase clinic costs and patients’ dissatisfaction. We develop a framework to predict the no-show probabilities of a given set of patients, and to subsequently employ these predictions to find the optimal appointment schedule. Some...

The return of a product is often one of a series of transactions that a consumer undertakes in search of a good. Recognizing this, we analyze returns as part of a product search process: Upon returning a product, consumers may immediately purchase an alternative one, which they may later replace...

Even though patients often arrive early and out of turn for scheduled appointments in outpatient clinics, no research has been undertaken to establish whether an available provider should see an early patient right away (preempt) or wait for the patient scheduled next. This problem, which we...