{"title":"The M/G/1/∞ System in the Nested Markov Chain Method in Mechanical Engineering","authors":"A. M. Popov","doi":"10.1134/S1052618825700578","DOIUrl":null,"url":null,"abstract":"<p>The <i>M</i>/<i>G</i>/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 <i>G</i> in the second place of the system entry means that the service time of each demand can be distributed according to an arbitrary law <i>G</i>(<i>x</i>). If <i>G</i>(<i>x</i>) is not hyper-Erlangian, then it is impossible to construct a process η(<i>t</i>) 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(<i>t</i>) at time <i>t</i> 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.</p>","PeriodicalId":642,"journal":{"name":"Journal of Machinery Manufacture and Reliability","volume":"54 5","pages":"501 - 505"},"PeriodicalIF":0.4000,"publicationDate":"2025-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Machinery Manufacture and Reliability","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1134/S1052618825700578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
Journal of Machinery Manufacture and Reliability is devoted to advances in machine design; CAD/CAM; experimental mechanics of machines, machine life expectancy, and reliability studies; machine dynamics and kinematics; vibration, acoustics, and stress/strain; wear resistance engineering; real-time machine operation diagnostics; robotic systems; new materials and manufacturing processes, and other topics.