Product recalls are often consequences of quality failures. While such failures are related to a manufacturer's or supplier's design quality, the perceived q...

It is a challenge to sustain cooperation in a finite-horizon dynamic game. Since players generally have an incentive to deviate to their noncooperative str...

This paper introduces the consistent production routing problem in a setting with multiple plants and products. The problem consists in finding minimum-cost ...

Distance metric learning algorithms aim to appropriately measure similarities and distances between data points. In the context of clustering, metric learnin...

In this paper, we introduce a framework for new product dfiffusion that integrates consumer heterogeneity and strategic interactions at individual level. For...

Restless bandits are a class of sequential resource allocation problems concerned with allocating one or more resources among several alternative processes...

The determinantal point process (DPP) provides a promising and attractive alternative to simple random sampling in cluster analysis or classification, for th...

Clustering algorithms help identify homogeneous subgroups from data. In some cases, additional information about the relationship among some subsets of the d...

We address the problem of accelerating column generation (CG) for set-covering formulations via dual optimal inequalities (DOI). DOI use knowledge of the du...

We consider a large group of consumers who can choose between two products at each purchasing occasion. Their choice is influenced by the marketing strateg...

In this paper, we study the competition between national brands and private labels (or store brands) by analyzing the impacts of their presence on strategies...

\(K\)-medoids clustering is among the most popular methods for cluster analysis, but it carries several assumptions about the nature of the latent clusters...

Recommender systems make use of different sources of information for providing users with recommendations of items. Such systems are often based on collabor...

Top-tier customers -that is, those 20% of customers that typically bring in 80% of all profits- are extremely valuable to companies. In the many instances ...

We consider the multivariate linear model for multilevel data where units are nested within a hierarchy of clusters. We propose permutation procedures to tes...

It is well known that strategic consumers can harm firms' profits by delaying their purchases, to buy at discounted price. A retailer can induce consumers ...

We consider the problem of pricing and advertising a one-time entertainment event. We assume that the organizers want to sell all available tickets. Thre...

In this paper, we present an online reinforcement learning algorithm, called Renewal Monte Carlo (RMC), for infinite horizon Markov decision processes with ...

The purpose of this study is to design incentives for price and advertising coordination in a bilateral monopoly. I prove that a wholesale price reduction ...

Brand imitation is a common practice that can take different forms, i.e., legal copying, as in the case of clones and knockoffs, or illegal, in the case of...