Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine

One of the most important characteristic of each queueing model is time to buffer overflow. In the paper the distribution of that time in a single-channel manufacturing system, modelled by a Markovian finite-buffer queue with machine breakdowns, is studied. By using the analytical approach based on...

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Main Authors: Kempa Wojciech M., Paprocka Iwona, Grabowik Cezary, Kalinowski Krzysztof, Krenczyk Damian
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201711205005
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author Kempa Wojciech M.
Paprocka Iwona
Grabowik Cezary
Kalinowski Krzysztof
Krenczyk Damian
author_facet Kempa Wojciech M.
Paprocka Iwona
Grabowik Cezary
Kalinowski Krzysztof
Krenczyk Damian
author_sort Kempa Wojciech M.
collection DOAJ
description One of the most important characteristic of each queueing model is time to buffer overflow. In the paper the distribution of that time in a single-channel manufacturing system, modelled by a Markovian finite-buffer queue with machine breakdowns, is studied. By using the analytical approach based on the idea of embedded Markov chain, total probability law and linear algebra, the formula for Laplace transform of the time to buffer overflow conditional distribution is found. Numerical illustration is presented.
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spelling doaj.art-e5a551688c4746c6873341abd8be763a2022-12-21T21:29:14ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011120500510.1051/matecconf/201711205005matecconf_imane2017_05005Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machineKempa Wojciech M.0Paprocka Iwona1Grabowik Cezary2Kalinowski Krzysztof3Krenczyk Damian4Silesian University of Technology, Faculty of Applied Mathematics, Institute of MathematicsSilesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing SystemsSilesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing SystemsSilesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing SystemsSilesian University of Technology, Faculty of Mechanical Engineering, Institute of Engineering Processes Automation and Integrated Manufacturing SystemsOne of the most important characteristic of each queueing model is time to buffer overflow. In the paper the distribution of that time in a single-channel manufacturing system, modelled by a Markovian finite-buffer queue with machine breakdowns, is studied. By using the analytical approach based on the idea of embedded Markov chain, total probability law and linear algebra, the formula for Laplace transform of the time to buffer overflow conditional distribution is found. Numerical illustration is presented.https://doi.org/10.1051/matecconf/201711205005
spellingShingle Kempa Wojciech M.
Paprocka Iwona
Grabowik Cezary
Kalinowski Krzysztof
Krenczyk Damian
Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
MATEC Web of Conferences
title Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
title_full Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
title_fullStr Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
title_full_unstemmed Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
title_short Distribution of time to buffer overflow in a finite-buffer manufacturing model with unreliable machine
title_sort distribution of time to buffer overflow in a finite buffer manufacturing model with unreliable machine
url https://doi.org/10.1051/matecconf/201711205005
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AT grabowikcezary distributionoftimetobufferoverflowinafinitebuffermanufacturingmodelwithunreliablemachine
AT kalinowskikrzysztof distributionoftimetobufferoverflowinafinitebuffermanufacturingmodelwithunreliablemachine
AT krenczykdamian distributionoftimetobufferoverflowinafinitebuffermanufacturingmodelwithunreliablemachine