Title :
One Hotelling T2 chart based on transformed data for simultaneous monitoring the frequency and magnitude of an event
Author :
Cheng, Y. ; Mukherjee, A.
Author_Institution :
Dept. of Syst. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong, China
Abstract :
Commonly, the event frequency and event magnitude have the dependence feature. However, previous research about event monitoring always assume they are independent variables. This assumption is not reasonable in most real applications. Taken the dependence feature into consideration, we introduce a typical bivariate gamma distribution with certain dependence structure. Based on this distribution, a kind of Hotelling T2 chart based on the transformed data is constructed for jointly monitoring of the shifts in the frequency and the magnitude of an event. An illustrative example based on a real data is provided to show the implementation of this chart. With Monte Carlo simulation, the performance of this proposed chart is studied.
Keywords :
Monte Carlo methods; control charts; gamma distribution; statistical process control; Hotelling T2 chart; Monte Carlo simulation; bivariate gamma distribution; dependence feature; dependence structure; event frequency monitoring; event magnitude monitoring; event shifts monitoring; simultaneous monitoring; statistical process control; Control charts; Floods; Frequency control; Joints; Monitoring; Reliability; Time-frequency analysis; Bivariate Gamma; Event Frequency; Event Magnitude; Hotelling T2 Chart; Multivariate Control Chart; Statistical Process Control;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058741