Revenue Optimization for a Make-to-Order Queue in an Uncertain Market Environment
Coauthor(s): Omar Besbes.
We consider a revenue maximizing make-to-order manufacturer that serves a market of price and delay sensitive customers and operates in an environment in which the market size
varies stochastically over time. A key feature of our analysis is that no model is assumed for
the evolution of the market size. We analyze two main settings: i) the size of the market is
observable at any point in time; and ii) the size of the market is not observable and hence
cannot be used for decision-making. We focus on high-volume systems that are characterized
by large processing capacities and market sizes, and where the latter fluctuate on a slower
time scale than that of the underlying production system dynamics. We develop an approach
to tackle such problems that is based on an asymptotic analysis and that yields near-optimal
policy recommendations for the original system via the solution of a stochastic fluid model.
Source: Operations Research
Besbes, Omar, and Costis Maglaras. "Revenue Optimization for a Make-to-Order Queue in an Uncertain Market Environment." Operations Research 57, no. 6 (November 2009): 1407-1450.