Analysis of the execution time of multi-stage control operations with multiple measurements

Questions related to the management of the process of multiple measurements are considered, depending on the result, which affects their number. In this case, the measurement time can be significantly increased. The above algorithm for controlling the measurement process justifies the random nature...

Full description

Bibliographic Details
Main Authors: Kopp Vadim, Balakin Alexey, Balakina Natalya, Zamoryonov Mikhail
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201822404021
id doaj-2f1c4c4a8e9140599586872c856053be
record_format Article
spelling doaj-2f1c4c4a8e9140599586872c856053be2021-02-02T01:55:43ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012240402110.1051/matecconf/201822404021matecconf_icmtmte2018_04021Analysis of the execution time of multi-stage control operations with multiple measurementsKopp Vadim0Balakin Alexey1Balakina Natalya2Zamoryonov Mikhail3“Sevastopol State University”“Sevastopol State University”“Sevastopol State University”“Sevastopol State University”Questions related to the management of the process of multiple measurements are considered, depending on the result, which affects their number. In this case, the measurement time can be significantly increased. The above algorithm for controlling the measurement process justifies the random nature of the duration of its execution, which entails the need to study the time of carrying out multiple measurements. The paper constructs a semi-Markov model that allows to determine the distribution functions of time between events in the output flow of products after measurements, which makes it possible to dock this model with models of elements of higher levels of the hierarchy of the production structure. In the model, it is taken into account that some part of the production after a given number of measurements is defective and leaves the system. The constructed semi-Markov model allows to predict the performance of a technical system associated with multiple measurements.https://doi.org/10.1051/matecconf/201822404021
collection DOAJ
language English
format Article
sources DOAJ
author Kopp Vadim
Balakin Alexey
Balakina Natalya
Zamoryonov Mikhail
spellingShingle Kopp Vadim
Balakin Alexey
Balakina Natalya
Zamoryonov Mikhail
Analysis of the execution time of multi-stage control operations with multiple measurements
MATEC Web of Conferences
author_facet Kopp Vadim
Balakin Alexey
Balakina Natalya
Zamoryonov Mikhail
author_sort Kopp Vadim
title Analysis of the execution time of multi-stage control operations with multiple measurements
title_short Analysis of the execution time of multi-stage control operations with multiple measurements
title_full Analysis of the execution time of multi-stage control operations with multiple measurements
title_fullStr Analysis of the execution time of multi-stage control operations with multiple measurements
title_full_unstemmed Analysis of the execution time of multi-stage control operations with multiple measurements
title_sort analysis of the execution time of multi-stage control operations with multiple measurements
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Questions related to the management of the process of multiple measurements are considered, depending on the result, which affects their number. In this case, the measurement time can be significantly increased. The above algorithm for controlling the measurement process justifies the random nature of the duration of its execution, which entails the need to study the time of carrying out multiple measurements. The paper constructs a semi-Markov model that allows to determine the distribution functions of time between events in the output flow of products after measurements, which makes it possible to dock this model with models of elements of higher levels of the hierarchy of the production structure. In the model, it is taken into account that some part of the production after a given number of measurements is defective and leaves the system. The constructed semi-Markov model allows to predict the performance of a technical system associated with multiple measurements.
url https://doi.org/10.1051/matecconf/201822404021
work_keys_str_mv AT koppvadim analysisoftheexecutiontimeofmultistagecontroloperationswithmultiplemeasurements
AT balakinalexey analysisoftheexecutiontimeofmultistagecontroloperationswithmultiplemeasurements
AT balakinanatalya analysisoftheexecutiontimeofmultistagecontroloperationswithmultiplemeasurements
AT zamoryonovmikhail analysisoftheexecutiontimeofmultistagecontroloperationswithmultiplemeasurements
_version_ 1724310719273369600