Optimal pricing in multi server systems

We study optimal pricing in a single server queue when the customers valuation of service depends on their waiting time. In particular, we consider a very general model, where the customer valuations are random and are sampled from a distribution that depends on the queue length. The goal of the service provider is to set dynamic state dependent prices in order to maximize its revenue, while also managing congestion. We model the problem as a Markov decision process, and present structural results on the optimal policy. We also present an algorithm to find an approximate optimal policy. We further present a myopic policy that is easy to evaluate and present bounds on its performance. We finally illustrate the quality of our approximate solution and the myopic solution using numerical simulations.

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Optimal Pricing in a Single Server System

Singh

Maguluri

et al. 2023

ACM Trans. Model. Perform. Eval. Comput. Syst.

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Optimal pricing in multi server systems

Cited by 1 publication

References 37 publications

Optimal Pricing in a Single Server System

Optimal Pricing in a Single Server System

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