How should a firm make joint production and replenishment decisions in a make-to-order setting where it can use either of two kinds of raw materials (or their mixture) to produce an end product using a shared production line with stochastic capacity? The problem is motivated by the practice of...

We consider joint learning and pricing in network revenue management (NRM) with multiple products, multiple resources with finite capacity, parametric demand model, and a continuum set of feasible price vectors. We study the setting with a general parametric demand model and the setting with a...

Motivated by the growth of ride-hailing services in urban areas, we study a (tactical) real-time spatial-inter-temporal dynamic pricing problem where a firm uses a pool of homogeneous servers (e.g., a fleet of taxis) in a network to serve price-sensitive customers who request a service (i.e., a...

A buyer seeking to outsource production may be able to find ways to reduce a potential supplier's cost, e.g., by suggesting improvements to the supplier's proposed production methods. We study how a buyer could use such "cost reduction investigations" by proposing a three-step supplier selection...

We consider a multi-product dynamic pricing problem with limited inventories under the so-called Cascade Click model, which is one of the most popular click models used in practice for analyzing customers' click-and-search behavior in large-scale web analytic applications. We present three...

We consider a monopoly firm that aims to maximize its total revenue over a finite horizon by optimizing the assortments across different periods. Customers make their purchase decisions according to a variant of the classical MNL model that incorporates popularity bias. We assume that the...