Perishable inventory problems have a long history and involve two fundamental decisions, how much to order and how much old inventory to clear before expiration, that are known to be difficult to optimize due to the curse of dimensionality. Most early work ignores the clearance decision and...

We study online demand fulfillment in sparse networks with arbitrary numbers of resources and request types, and positive Generalized Capacity Gaps (GCG) introduced by Shi et al.(2016). We show that such a sparse network with limited flexibility is both necessary and sufficient to achieve...

Deceptive counterfeits differ from non-deceptive ones in that they are packaged and sold as authentic brand name products so that consumers may buy counterfeits unknowingly. When a distribution channel, referred to as the general channel, has been penetrated with deceptive counterfeits, a brand...

Counterfeiting is a widely spread phenomenon and has seen rapid growth in recent years. In this paper, we adopt the standard vertical differentiation model and allow consumers the choices of purchasing an authentic product, purchasing a counterfeit, or not buying. We focus on how non-deceptive...

To meet the needs of a broad set of internal and external stakeholders now and into the future the Australian Treasury maintains a significant macroeconomic modelling capability. Treasury's current inhouse capability is similar to that of the US Congressional Budget Office (CBO) and the Joint...

In this paper, we study how the timing of payments affects joint replenishment and pricing decisions. Specifically, we consider a periodic review system in which consumers pay upon receiving their goods, referred to as the collect-on-delivery (COD) scheme, as opposed to paying when placing their...

We study customer service chat (CSC) systems with generally distributed service and patience times by developing measure-valued processes to model and analyze the system dynamics. We first prove that these processes are tight in the many-server asymptotic regime and then show that their limits...

Ride-hailing platforms such as Uber, Lyft, and DiDi coordinate supply and demand by matching passengers and drivers. The platform has to promptly dispatch drivers when receiving requests, since otherwise passengers may lose patience and abandon the service by switching to alternative...