BIAS OPTIMALITY IN A QUEUE WITH ADMISSION CONTROL


Mark E. Lewis
Industrial and Operations Engineering
University of Michigan
1205 Beal Avenue
Ann Arbor, MI 48109-2117

Hayriye Ayhan and Robert D. Foley
School of Industrial and Systems Engineering
Georgia Institute of Technology
Atlanta, GA 30332-0205

We consider a finite capacity queueing system in which each arriving customer offers a reward. A gatekeeper decides based on the reward offered and the space remaining whether each arriving customer should be accepted or rejected. The gatekeeper only receives the offered reward if the customer is accepted. A traditional objective function is to maximize the gain; that is, the long-run average reward. However, it is quite possible to have several different gain optimal policies that behav quite differently. Bias and Blackwell optimality are more refined objective functions that can distinguish among multiple stationary, deterministic gain optimal policies. This paper focuses on describing the structure of stationary, deterministic, optimal policies and extending this optimality to distinguish between multiple gain optimal policies. We show that these policies are of trunk reservation form and must occur consecutively. We then prove that we can distinguish among these gain optimal policies using the bias or transient reward and extend to Blackwell optimality.