On time-to-buffer overflow distribution in a single-machine discrete-time system with finite capacity
A model of a single-machine production system with finite magazine capacity is investigated. The input flow of jobs is organized according to geometric distribution of interarrival times, while processing times are assumed to be generally distributed. The closed-form formula for the generating funct...
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| Veröffentlicht in: | Mathematical modelling and analysis Jg. 25; H. 2; S. 289 - 302 |
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Vilnius
Vilnius Gediminas Technical University
01.03.2020
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| ISSN: | 1392-6292, 1648-3510 |
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| Abstract | A model of a single-machine production system with finite magazine capacity is investigated. The input flow of jobs is organized according to geometric distribution of interarrival times, while processing times are assumed to be generally distributed. The closed-form formula for the generating function of the time to the first buffer overflow distribution conditioned by the initial buffer state is found. The analytical approach based on the idea of embedded Markov chain, the formula of total probability and linear algebra is applied. The corresponding result for next buffer overflows is also given. Numerical examples are attached as well. |
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| AbstractList | A model of a single-machine production system with finite magazine capacity is investigated. The input flow of jobs is organized according to geometric distribution of interarrival times, while processing times are assumed to be generally distributed. The closed-form formula for the generating function of the time to the first buffer overflow distribution conditioned by the initial buffer state is found. The analytical approach based on the idea of embedded Markov chain, the formula of total probability and linear algebra is applied. The corresponding result for next buffer overflows is also given. Numerical examples are attached as well. A model of a single-machine production system with finite magazine capacity is investigated. The input flow of jobs is organized according to geometric distribution of interarrival times, while processing times are assumed to be generally distributed. The closed-form formula for the generating function of the time to the first buffer overflow distribution conditioned by the initial buffer state is found. The analytical approach based on the idea of embedded Markov chain, the formula of total probability and linear algebra is applied. The corresponding result for next buffer overflows is also given. Numerical examples are attached as well. Keywords: buffer overflow, geometric distribution, production line, queueing model, transient analysis. AMS Subject Classification: 60K20; 60K25; 68M20; 90B22. |
| Audience | Academic |
| Author | Kempa, Wojciech M. |
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| Cites_doi | 10.1007/s11134-011-9213-6 10.15807/jorsj.22.41 10.1016/j.peva.2016.11.002 10.1023/A:1019994728099 10.1007/978-1-4757-4828-4_8 10.15807/jorsj.30.1 10.1017/S0021900200017691 10.1007/BF01158772 10.1051/matecconf/201711205005 10.1080/01605682.2019.1567651 10.1007/978-1-4615-3130-2 10.1145/800040.801399 10.1080/15326340701300746 10.1016/S0304-4149(00)00034-X |
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| References_xml | – ident: key-10.3846/mma.2020.10433-8 doi: 10.1007/s11134-011-9213-6 – ident: key-10.3846/mma.2020.10433-16 doi: 10.15807/jorsj.22.41 – start-page: 879 volume-title: Proceedings of the International Conference on Research Networking: NETWORKING 2007 year: 2007 ident: key-10.3846/mma.2020.10433-5 article-title: Time ot buffer overflow in a MMPP queue – ident: key-10.3846/mma.2020.10433-10 doi: 10.1016/j.peva.2016.11.002 – ident: key-10.3846/mma.2020.10433-2 doi: 10.1023/A:1019994728099 – start-page: 257 volume-title: Computational Probability year: 2000 ident: key-10.3846/mma.2020.10433-1 article-title: An introduction to numerical transform inversion and its application to probability models doi: 10.1007/978-1-4757-4828-4_8 – start-page: 219 volume-title: Computer networks. 25th International conference (CN 2018) year: 2018 ident: key-10.3846/mma.2020.10433-12 article-title: Time to buffer overflow in a queueing model with working vacation policy – volume-title: Queueing analysis - a foundation of performance evaluation year: 1993 ident: key-10.3846/mma.2020.10433-21 – ident: key-10.3846/mma.2020.10433-19 doi: 10.15807/jorsj.30.1 – ident: key-10.3846/mma.2020.10433-20 doi: 10.1017/S0021900200017691 – ident: key-10.3846/mma.2020.10433-4 doi: 10.1007/BF01158772 – start-page: 329 volume-title: Finite difference methods theory and applications. 7th International conference year: 2018 ident: key-10.3846/mma.2020.10433-11 article-title: Time to start a crowded period in a finite-buffer queue with Poisson input flow and general processing times. – start-page: 215 volume-title: Information systems architecture and technology. Proceedings of 37th International Conference on Information Systems Architecture and Technology (ISAT 2016) year: 2016 ident: key-10.3846/mma.2020.10433-14 article-title: Time to buffer overflow in a finite-capacity queueing model with setup and closedown times. – volume-title: Discrete-time models: techniques and applications year: 1983 ident: key-10.3846/mma.2020.10433-9 article-title: Mathematical techniques of applied probability – volume-title: Boundary-Value Problems for Compound Poisson Processes year: 1975 ident: key-10.3846/mma.2020.10433-17 – ident: key-10.3846/mma.2020.10433-15 doi: 10.1051/matecconf/201711205005 – ident: key-10.3846/mma.2020.10433-13 doi: 10.1080/01605682.2019.1567651 – ident: key-10.3846/mma.2020.10433-3 doi: 10.1007/978-1-4615-3130-2 – ident: key-10.3846/mma.2020.10433-7 doi: 10.1145/800040.801399 – ident: key-10.3846/mma.2020.10433-6 doi: 10.1080/15326340701300746 – ident: key-10.3846/mma.2020.10433-18 doi: 10.1016/S0304-4149(00)00034-X |
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| SubjectTerms | Algebra buffer overflow Buffers Discrete time systems Finite capacity geometric distribution Linear algebra Markov analysis Markov chains Markov processes production line Production management queueing model Queuing theory Time transient analysis |
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| Title | On time-to-buffer overflow distribution in a single-machine discrete-time system with finite capacity |
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