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Bias Optimality in Controlled Queueing Systems

Published online by Cambridge University Press:  14 July 2016

Moshe Haviv  and
Martin L. Puterman
Moshe Haviv*
Affiliation:
The Hebrew University of Jerusalem
Martin L. Puterman*
Affiliation:
University of British Columbia
*
∗Postal address: Department of Econometrics, The University of Sydney, Sydney, NSW 2006, Australia and Department of Statistics, The Hebrew University of Jerusalem, Jerusalem 91905, Israel. e-mail address: [email protected]
∗∗Postal address: Faculty of Commerce and Business, University of British Columbia, 2053 Main Mall, Vancouver, BC, Canada V6T 1Z2. e-mail address: [email protected]
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Abstract

This paper studies an admission control M/M/1 queueing system. It shows that the only gain (average) optimal stationary policies with gain and bias which satisfy the optimality equation are of control limit type, that there are at most two and, if there are two, they occur consecutively. Conditions are provided which ensure the existence of two gain optimal control limit policies and are illustrated with an example. The main result is that bias optimality distinguishes these two gain optimal policies and that the larger of the two control limits is the unique bias optimal stationary policy. Consequently it is also Blackwell optimal. This result is established by appealing to the third optimality equation of the Markov decision process and some observations concerning the structure of solutions of the second optimality equation.

Keywords

Markov decision processesaverage rewardcontrol limit policiesadmission controluniformizationBlackwell optimality

MSC classification

Primary: 90C40: Markov and semi-Markov decision processes
Type
Research Papers
Information
Journal of Applied Probability , Volume 35 , Issue 1 , March 1998 , pp. 136 - 150
Copyright
Copyright © Applied Probability Trust 1998 

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