In a limit order market, orders submitted at about the same time are subject to random latencies and will be queued accordingly. A theoretical model captures the strategic behavior of market makers who, in anticipation of such queuing uncertainty, fiercely compete for the rent in liquidity...

We developed a method for workforce scheduling that models both the structure of the set of permissible shifts, and the stochastic and time-varying demand process. A prototype implementation uses a genetic algorithm to search for good schedules, and evaluates the service level resulting from a...

This paper examines the performance of multi-class multi-server bipartite queueing systems under a FCFS-ALIS service discipline, where each arriving customer is only compatible with a subset of servers. We analyze the system under conventional heavy-traffic conditions, where the traffic...

In recent years, effective monitoring of categorical and count data has increasingly attracted attention of researchers in thearea of statistical process control. However, most of the existing research model categorical and count data streams as independentand identically distributed data or...

This paper develops a new method for computing the stationary distribution and steady-state performance measures of stochastic systems that can be described as a continuous-state Markov chain supported on R. The balance equations are solved by constructing a proxy Markov chain with finite...

It is crucial to prevent escalation of an exponentially spreading epidemic early on. This can be done cost-effectively with contact tracing, which tries to find the unknown contagious people and make their health status common knowledge with testing. There is uncertainty regarding the epidemic...