In many service systems, different customers may require different service levels defined by the maximum stock-out probability constraints. A key challenge in such systems is to find out the minimal capacity needed and how to allocate this limited capacity to customers in order to meet each

We study a firm's manufacturing strategies under two types of flexible production technologies: the traditional flexible technology and 3D printing. Under the traditional flexible technology, capacity becomes more expensive as it handles more product variants; under 3D printing, however, capacity

Annual sales of store brands and retailer introductions of new store brands have grown quickly in recent years. We address retailers' product assortment decisions (in terms of store and national brands) and related pricing decisions at two competing retailers, along with pricing decisions of a

A large call center faces a great amount of daily traffic. Since the rate of incoming calls varies over time, a call center may become overloaded during the peak hours of a day. In addition, many service-oriented call centers are intentionally operated in an overloaded regime so as to save staffing

Liver transplantation is often a life-saving treatment for patients who are suffering from various diseases of the liver; however, its use is limited by the shortage of deceased-donor livers. In the United States, the two most common indications for liver transplantation are endstage liver disease

This paper examines the impact of two reimbursement schemes on patient welfare, readmission rate, and waiting time in a three tiered public healthcare system comprising (a) a public funder who decides on the reimbursement rate to maximize patient welfare, (b) a public healthcare provider (HCP) who

Inventory management is one central problem of operations. The classical inventory theories typically focus on the operational tradeoffs to optimize the inventory decisions. In practice, however, many firms are public that often have short-term interests in their market value. In this research, we

In this article, we introduce the concept of model confidence bounds (MCBs) for variable selection in the context of nested models. Similarly to the endpoints in the familiar confidence interval for parameter estimation, the MCBs identify two nested models (upper and lower confidence bound models)

Many models in economics and operations research can be formulated as Variational Inequalities (VI) problems. In this paper, we introduce an equivalence relation called ordinal equivalence transformation (OET) on VI, which has the property of preserving the solution set of VI. We revisit many

This paper develops an unbiased Monte Carlo estimator of the transition density of a multivariate jump-diffusion process. The drift, volatility, jump intensity, and jump magnitude are allowed to be state-dependent and non-affine. It is not necessary that the volatility matrix can be diagonalized