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...

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...

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...

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...

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...

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...

Financial data are expensive and highly sensitive with limited access. We aim to generate abundant datasets given the original prices while preserving the original statistical features. We introduce the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) into the field of...