In this paper we develop an approach to dynamic pricing that combines ideas from data-driven and robust optimization to address the uncertain and dynamic aspects of the problem. In our setting, a firm offers multiple products to be sold over a fixed discrete time horizon. Each product sold...

In this paper, we develop a model for the adoption of solar photovoltaic technology by residential consumers. In particular, we assume consumers purchase these solar panels according to a discrete choice model. The technology adoption process is reinforced by network externalities such as...

We study the problem of optimizing a tree-based ensemble objective with the feasible decisions lie in a polyhedral set. We model this optimization problem as a Mixed Integer Linear Program (MILP). We show this model can be solved to optimality efficiently using Pareto optimal Benders cuts. For...

Accountable Care Organizations (ACOs) are responsible for the quality and cost of care of specified patient populations, including the cost of referrals. Motivated by this environment, we study care coordination for healthcare referrals. We consider an ACO that refers an uncertain number of...

Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability of data and recent advances in machine learning and optimization methodologies, there has been an increasing...

With the rise of online retail in recent years, one of the key challenges that retailers face is product returns. Each year products worth billions of dollars are returned for various reasons including product quality, packaging, delivery delays and others. Working with one of India's largest...

We study a model of competition with multiple suppliers who sell green technology products, such as electric vehicles. The government offers consumer subsidies to encourage adoption. We consider a setting where suppliers adjust price and production quantities depending on the level of subsidies...

We study strategic capacity investment problems in joint ventures (JVs) with fixed-rate revenue sharing contracts. We distinguish two types of JVs, depending on how individual resources determine the effective capacity of a JV. Despite its popularity across many industries, JVs tend to suffer...

One of the greatest challenges of the COVID-19 pandemic has been the way evolving regulation, information and sentiment has driven waves of the disease. Traditional epidemiology models, such as the SIR model, are not equipped to handle these behavioral based changes. We propose a novel multipeak...

The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government allocates funds to each type...