The M/G/1/∞ System in the Nested Markov Chain Method in Mechanical Engineering

The M/G/1/∞ system is a non-Markov model, a single-line queueing system with waiting and a Poisson incoming flow of demands of intensity λ. However, the letter G in the second place of the system entry means that the service time of each demand can be distributed according to an arbitrary law G(x). If G(x) is not hyper-Erlangian, then it is impossible to construct a process η(t) that would describe the functioning of the system and would be a Markov process with continuous time and a discrete set of states. In particular, the number of demands in the system ν(t) at time t will not be such a process, since the distribution of the remaining service time of a demand in the system, unlike the exponential case, depends on the time that this demand has already been serviced.

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Publication Details

Journal
Journal of Machinery Manufacture and Reliability
Published
2025-09-28
DOI
https://doi.org/10.1134/s1052618825700578
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
1.21
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article

The M/G/1/∞ System in the Nested Markov Chain Method in Mechanical Engineering

А. М. Попов
1 citations
Journal of Machinery Manufacture and Reliability
Fault Detection and Control Systems
1.21
article

The M/G/1/∞ System in the Nested Markov Chain Method in Mechanical Engineering

А. М. Попов
article en
1 citations

Abstract

The M/G/1/∞ system is a non-Markov model, a single-line queueing system with waiting and a Poisson incoming flow of demands of intensity λ. However, the letter G in the second place of the system entry means that the service time of each demand can be distributed according to an arbitrary law G(x). If G(x) is not hyper-Erlangian, then it is impossible to construct a process η(t) that would describe the functioning of the system and would be a Markov process with continuous time and a discrete set of states. In particular, the number of demands in the system ν(t) at time t will not be such a process, since the distribution of the remaining service time of a demand in the system, unlike the exponential case, depends on the time that this demand has already been serviced.

Journal of Machinery Manufacture and ReliabilityVol. 54(5)
Mechanical Engineering Research Institute of the Russian Academy of Sciences (RU)
Openalex Percentile: Top 16%
Fault Detection and Control Systems
1.21
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The M/G/1/∞ System in the Nested Markov Chain Method in Mechanical Engineering — А. М. Попов · Journal of Machinery Manufacture and Reliability (2025) | TGRS Research Map | TGRS