Analysis of Queueing System with Dynamic Rating-Dependent Arrival Process and Price of Service
C. D’Apice,
A. N. Dudin,
O. S. Dudina and
R. Manzo ()
Additional contact information
C. D’Apice: Dipartimento di Scienze Aziendali-Management & Innovation Systems, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084 Salerno, Italy
A. N. Dudin: Department of Applied Mathematics and Computer Science, Belarusian State University, 4, Nezavisimosti Ave., 220030 Minsk, Belarus
O. S. Dudina: Department of Applied Mathematics and Computer Science, Belarusian State University, 4, Nezavisimosti Ave., 220030 Minsk, Belarus
R. Manzo: Department of Political and Communication Sciences, University of Salerno, Via Giovanni Paolo II, 132, Fisciano, 84084 Salerno, Italy
Mathematics, 2024, vol. 12, issue 7, 1-20
Abstract:
We consider a multi-server queueing system with a visible queue and an arrival flow that is dynamically dependent on the system’s rating. This rating reflects the level of customer satisfaction with the quality and price of the provided service. A higher rating implies a higher arrival rate, which motivates the service provider to increase the price of the service. A steady-state analysis of this system using the proposed mechanism for changing the rating and a threshold strategy for changing the price is performed. This is carried out via the consideration of a suitably constructed multidimensional Markov chain. The impact of the variation in the threshold defining the strategy for changing the price on the key performance indicators is numerically illustrated. The results can be used to make managerial decisions, leading to an increase in the effectiveness of system operations.
Keywords: rating-dependent Markov arrival process; multi-server queue; revenue maximization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:12:y:2024:i:7:p:1101-:d:1371020
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