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 …

Over the last fifteen years, the theory and practice of revenue management has experienced
significant developments due to the need to incorporate customer choice behavior. In this …

Consider-then-choose models, borne out by empirical literature in marketing and
psychology, explain that customers choose among alternatives in two phases, by first …

Motivated by the applications of rental services in e-commerce, we consider revenue
maximization in online assortment of reusable resources for a stream of arriving consumers …

We propose a novel combinatorial inference framework to conduct general uncertainty
quantification in ranking problems. We consider the widely adopted Bradley-Terry-Luce …

A fundamental problem faced by firms is that of product line design: given a set of candidate
products that may be offered to a collection of customers, what subset of those products …

Assortment optimization is an important problem that arises in many practical applications
such as retailing and online advertising. The fundamental goal is to select a subset of items …

We review the operations research/management science literature on data‐driven methods
in retail operations. This line of work has grown rapidly in recent years, thanks to the …

In this paper, we consider the yet-uncharted assortment optimization problem under the
exponomial choice model, in which the objective is to determine the revenue-maximizing set …

Customer behavior is often assumed to follow weak rationality, which implies that adding a
product to an assortment will not increase the choice probability of another product in that …