Design and construction of an automated monitoring system for mobile network system error with control chart

An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info...

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Main Authors: Konjai N., Chattinnawat W.
Format: Conference or Workshop Item
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-72449207635&partnerID=40&md5=0e3e6e3025f4f1596105b8207a42cf29
http://cmuir.cmu.ac.th/handle/6653943832/1425
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-14252014-08-29T09:29:17Z Design and construction of an automated monitoring system for mobile network system error with control chart Konjai N. Chattinnawat W. An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info Service Public Company Limited in the north region of Thailand in order to rapidly solve a problem and increasing the quality of service. By gathering information, it was found that an error of base station system led to call cancellations and call terminations (TCH Drop) are about 0.72% which was used to design the control limit of the Two Stages Cumulative Count Control Chart that was appropriate for monitoring a process that low errors occur, this project set the probability of the type one error (α) equal 0.05. Furthermore, in accordance with the control chart, we divided this error type into two parts using equal to 0.14. The calculation indicates that, the first control limit (n1) was 6 and the second control limit n2 was 24. We tested these two parameters by simulating the usage of TCH per hour which was based on Poisson distribution and the past information of 0.72% TCH Drop was based on Binomial distribution and the usage of TCH per hour. The results from the simulation showed that the increasing of n1 and n2 to be 9 and 30 respectively are necessary in order to meet the design requirement. This chart was also applied to the network and it can monitor the network effectively. This research can monitor any error of the network and send an alarm to solve the problem immediately to guarantee the best service to customers. 2014-08-29T09:29:17Z 2014-08-29T09:29:17Z 2009 Conference Paper 9781846260032 78222 http://www.scopus.com/inward/record.url?eid=2-s2.0-72449207635&partnerID=40&md5=0e3e6e3025f4f1596105b8207a42cf29 http://cmuir.cmu.ac.th/handle/6653943832/1425 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description An objective of this research is to design and construct an automated monitoring system for mobile network system error with control chart. The two stage control chart has been used to monitor the cancelled or terminated calls resulting from an error of base station system belonging to Advance Info Service Public Company Limited in the north region of Thailand in order to rapidly solve a problem and increasing the quality of service. By gathering information, it was found that an error of base station system led to call cancellations and call terminations (TCH Drop) are about 0.72% which was used to design the control limit of the Two Stages Cumulative Count Control Chart that was appropriate for monitoring a process that low errors occur, this project set the probability of the type one error (α) equal 0.05. Furthermore, in accordance with the control chart, we divided this error type into two parts using equal to 0.14. The calculation indicates that, the first control limit (n1) was 6 and the second control limit n2 was 24. We tested these two parameters by simulating the usage of TCH per hour which was based on Poisson distribution and the past information of 0.72% TCH Drop was based on Binomial distribution and the usage of TCH per hour. The results from the simulation showed that the increasing of n1 and n2 to be 9 and 30 respectively are necessary in order to meet the design requirement. This chart was also applied to the network and it can monitor the network effectively. This research can monitor any error of the network and send an alarm to solve the problem immediately to guarantee the best service to customers.
format Conference or Workshop Item
author Konjai N.
Chattinnawat W.
spellingShingle Konjai N.
Chattinnawat W.
Design and construction of an automated monitoring system for mobile network system error with control chart
author_facet Konjai N.
Chattinnawat W.
author_sort Konjai N.
title Design and construction of an automated monitoring system for mobile network system error with control chart
title_short Design and construction of an automated monitoring system for mobile network system error with control chart
title_full Design and construction of an automated monitoring system for mobile network system error with control chart
title_fullStr Design and construction of an automated monitoring system for mobile network system error with control chart
title_full_unstemmed Design and construction of an automated monitoring system for mobile network system error with control chart
title_sort design and construction of an automated monitoring system for mobile network system error with control chart
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-72449207635&partnerID=40&md5=0e3e6e3025f4f1596105b8207a42cf29
http://cmuir.cmu.ac.th/handle/6653943832/1425
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