Abstract
This paper is interested in studying a type of production models-stocks that can be seen as a stochastic fluid flow system with upward jumps at level zero. The joint distribution of the stocks level and the controlling Markov process is governed by two differential systems with specific boundary conditions. The uniqueness of the solution of this problem has been proved. Also, a unified solution with no distinction between singular or invertible drift matrix is proposed. The mathematical expectation is therefore derived. This method is based on the uniformization technique, which is acknowledged by its numerical stability and accuracy. A comparative study with a spectral-based solution is achieved to confirm this statement.
Similar content being viewed by others
References
Abbessi W, Nabli H (2008) Comparison of computation methods for the steady-state Markov modulated fluid queues, 1st IEEE workshop on performance evaluation of communications in distributed systems and web based service architectures, Sousse, Tunisia
Asmussen S, Kella O (2000) A multi-dimensional martingale for Markov additive processes and its applications. Adv Appl Probab 32:376–393
Baht UN (1984) Elements of applied stochastic processes. Wiley, New York
Barron Y, Perry D, Stadje W (2014) A jump-fluid production-inventory model with double band control. Probab Eng Inf Sci 28:313–333
Da Silva Soares A, Latouche G (2005) Level-phase independence for fluid queues. Stoch Models 21:327–341
Grassmann WK (1977) Transient solutions in Markovian queues. Eur J Oper Res 1:396–402
Latouche G, Taylor PG (2009) A stochastic fluid model for an ad hoc mobile network. Queueing Syst 56:109–129
Kulkarni VG (2007a) Fluid models for production-inventory systems, PhD Thesis, Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, pp 27599
Kulkarni VG, Yan K (2007b) A fluid model with upward jumps at the boundary. Queueing Syst 56:103–117
Kulkarni VG, Yan K (2012) Production-inventory systems in stochastic environment and stochastic lead times. Queueing Syst 70:207–231
Li W, Liu Y, Zhao Y.Q (2019) Exact tail asymptotics for fluid models driven by an M/M/c queue. Queueing Syst 91:319–346
Miyazawa M, Takada H (2002) A matrix exponential form for hitting probabilities and its application to a Markov-modulated fluid queues with downward jumps. J Appl Probab 39:604–618
Nabli H (2004) Asymptotic solution of stochastic fluid models. Perform Eval 57:121–140
Nabli H, Ouerghi H (2009) Uniqueness of asymptotic solution for general Markov fluid models. Perform Eval 66:580–585
Nabli H, Alwan A (2016a) Some comments on the transient solution of stochastic fluid models. Sci J King Faisal Univ 17:25–33
Nabli H, Abbessi W, Ouerghi H (2016b) A unified algorithm for finite and finite buffer content distribution of Markov fluid models. Perf Eval 99-100:37–54
Nabli H, Soltan H (2017) Asymptotic solution of stochastic fluid model with upward jumps. Sci J King Faisal Univ 18:31–40
Ross SM (1996) Stochastic processe, 2nd edn. Wiley, New York
Scheinhardt WRW (1998) Markov-modulated and feedback fluid queues, Ph.D. Thesis, University of Twenty, Enschede
Sericola B, Tuffin B (1999) A fluid queue driven by a Markovian queue. Queueing Syst 31:253–264
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Nabli, H. Stochastic Fluid Models with Positive Jumps at Level Zero. Methodol Comput Appl Probab 24, 289–308 (2022). https://doi.org/10.1007/s11009-021-09852-y
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11009-021-09852-y