Weighted likelihood ratio chart for statistical monitoring of queueing systems. Issue 1 (2nd January 2017)

• Record Type: Journal Article
• Authors: Qi, Dequan; Li, Zhonghua; Zi, Xuemin; Wang, Zhaojun
• Is Part Of: Quality technology & quantitative management. Volume 14:Issue 1(2017)
• Page Start: 19
• Page End: 30
• Publication Date: 2017-01-02
• Subjects: Average run length -- queueing systems -- statistical process control -- weighted likelihood ratio statistics; Quality control -- Periodicals; Quality control -- Statistical methods -- Periodicals; Industrial management -- Periodicals; Industrial management; Management -- Research -- Methodology -- Periodicals; Qualitative research -- Periodicals; Management; Quality control; Quality control -- Statistical methods; Periodicals; 658.00721
• DOI: 10.1080/16843703.2016.1189184
• Languages: English
• ISSNs: 1684-3703

Abstract

Abstract : In recent years, effective monitoring of queueing systems has increasingly attracted attention of researchers in the area of statistical process control. Most existing works in the literature, however, did not consider the data autocorrelation, nor rigorously evaluate the performance. In this paper, considering the data autocorrelation, a control chart based on the weighted likelihood ratio test (WLRT) is proposed to efficiently monitor the utilization of queueing systems, particularly the M/M/1 queueing system. Our approach can be readily extended to other general queueing systems if the likelihood function can be obtained. Numerical results and illustrative example show that the performance of the proposed WLRT chart is quite satisfactory.