For an integer programming model with fixed data, the linear programming relaxation gap is considered one of the most important measures of model quality. There is no consensus, however, on appropr…
Assortment optimization is an important problem that arises in many practical applications such as retailing and online advertising. In this problem, the goal is to select a subset of items that ma…
We study the problem faced by a profit-maximizing, resource-constrained hospital that controls patient inflows by designing a case-mix of its elective procedures and patient outflows via patient di…
We study the supply chain implications of dynamic pricing. Specifically, we estimate how reducing menu costs—the operational burden of adjusting prices—would affect supply chain volatility. Fit…
Crew costs account for a significant portion of the operating expenses for transportation service providers, and so utilizing crews effectively is an important priority for these organizations. Thi…
We consider a ubiquitous scenario in the internet economy when individual decision makers (henceforth, agents) both produce and consume information as they make strategic choices in an uncertain en…
We study the relationship between capacity and performance for a service firm with spatial operations, in the sense that requests arrive with origin-destination pairs. An example of such a system i…
We consider nonparametric production technologies characterized by several component production processes and allow both component-specific and shared inputs and outputs. Each process uses its spec…
We study a noisy tensor completion problem of broad practical interest, namely, the reconstruction of a low-rank tensor from highly incomplete and randomly corrupted observations of its entries. Wh…
We study deterministic fluid approximation models of parallel service systems with a fixed set of servers, operating under first come first served (FCFS) policy, when the service time distributions…