Analysis of a multi-server system with Markovian arrival process and dynamic pricing
Keywords:
dynamic pricing, Markovian arrival process, admission control, server vacation policy, ride-hailing platformAbstract
This paper presents a mathematical model of a multi-server queuing system which integrates a Markovian arrival process (MAP) with an adaptive admission control mechanism based on dynamic pricing and a comprehensive server vacation policy. By formulating the system dynamics as a three-dimensional continuous-time Markov chain, we derive its infinitesimal. We provide explicit formulas for key performance measures, including average numbers of active and busy servers, and loss probabilities. Numerical experiments demonstrate that the synergy between dynamic pricing and resource management is crucial for balancing the quality of service and operational efficiency. Furthermore, we identify an optimal pricing strategy that maximises the system’s economic profit by managing the trade-off between congestion and customer rejection.
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