We consider a ride-hailing platform that seeks to maximize its profit by dynamically dispatching cars to pick up customers and centrally relocating cars from one area to another. We model the ride-hailing platform as a closed stochastic processing network. Because the problem appears...

In this paper, we consider a service system facing several classes of customers in which the arrival rate and service time depend on the workload in the system, while the chance of return is a function of the service time. We first model the problem as a multiclass multiserver queueing network...

We consider a make-to-stock manufacturing system selling multiple products to price-sensitive customers. The system manager seeks to maximize the long-run average profit by making dynamic pricing, outsourcing, and scheduling decisions: First, she adjusts prices dynamically depending on the...

This paper studies how search friction and spatial pricing can impact the taxi market in New York City. We use a mean field model, in which the taxi drivers strategically search for customers in different neighborhoods across the city, taking into account the spatial and temporal distribution of...