The topic of dynamic pricing and learning has received a considerable amount of attention
in recent years, from different scientific communities. We survey these literature streams: we …

This paper proposes a Continuous Approximation (CA) model that designs the potentiality of
drones as a mode of transportation to supply emergency commodities in a disaster-affected …

We consider a non-stationary variant of a sequential stochastic optimization problem, in
which the underlying cost functions may change along the horizon. We propose a measure …

In online advertising markets, advertisers often purchase ad placements through bidding in
repeated auctions based on realized viewer information. We study how budget-constrained …

We consider the problem faced by a firm that receives highly differentiated products in an
online fashion. The firm needs to price these products to sell them to its customer base …

We consider a multiperiod single product pricing problem with an unknown demand curve.
The seller's objective is to adjust prices in each period so as to maximize cumulative …

We consider a logit model-based framework for modeling joint pricing and assortment
decisions that take into account customer features. This model provides a significant …

We study a dynamic pricing problem with finite inventory and parametric uncertainty on the
demand distribution. Products are sold during selling seasons of finite length, and inventory …

In this article, we describe representative contributions in several major application areas of
data analytics in operations management to summarize the recent development, discuss the …

Motivated by the dynamic assortment offerings and item pricings occurring in e-commerce,
we study a general problem of allocating finite inventories to heterogeneous customers …