An Application Scheme of I-MR Control Charts for Monitoring Internet Communication Network Quality Characteristics 


Vol. 31,  No. 10, pp. 936-944, Oct.  2006


PDF
  Abstract

In order to enhance their own customer satisfaction index that is one of the top level managerial performance indices, Internet communication service providers endeavor onto establishing a total quality management system. Specifically, it is under discussion that some critical Internet communication network quality characteristics closely related to customer satisfaction index should be controlled aiming to this managerial goal. This paper presents an application scheme of I-MR control charts for monitoring Internet communication network quality characteristics. This statistical quality control scheme generates a signal to practitioners when it detects the network quality characteristics out-of control. It is designed based on; 1) individual measurements; and 2) moving ranges between two consecutive individual measurements collected with a constant time interval. Empirical analyses are illustrated to estimate the expected quality improvement ratios that can be realized with the application scheme proposed in this paper. Assuming that the assignable causes can be revealed and eradicated, regarding two Internet communication services A, B, seven network quality characteristics for each service, eleven distinct measuring spots for each network quality characteristic, the expected quality improvement ratios are calculated with which the effect of the application scheme is evaluated. Results show the ranges of the expected quality improvement ratios; 1) Service A, ① mean (0.31%-11.44%), ② standard deviation (9.82%-71.10%); 2) Service B, ① mean (0.29%-17.64%), ② standard deviation (8.05%-60.59%). Hence, It is anticipated that the I-MR control charts based application scheme can be effective not only to improving the mean and dispersion of the network quality characteristics concerned but also to maintaining the network quality characteristics in-control consequently.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

S. Park and Y. Park, "An Application Scheme of I-MR Control Charts for Monitoring Internet Communication Network Quality Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 936-944, 2006. DOI: .

[ACM Style]

Sungmin Park and Youngjoon Park. 2006. An Application Scheme of I-MR Control Charts for Monitoring Internet Communication Network Quality Characteristics. The Journal of Korean Institute of Communications and Information Sciences, 31, 10, (2006), 936-944. DOI: .

[KICS Style]

Sungmin Park and Youngjoon Park, "An Application Scheme of I-MR Control Charts for Monitoring Internet Communication Network Quality Characteristics," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 936-944, 10. 2006.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880