@inproceedings{32d1fb3e74ae42c5a0410eea5940c942,
title = "An ARL-unbiased design of Gamma control chart",
abstract = "Gamma charts based on time-between-events (TBE) data are very useful for process monitoring in the manufacturing industry. The average run length (ARL) is widely adopted as a criterion to evaluate the performance of Gamma charts. The traditional equal-tail probability limits are often used to provide the control limits of Gamma charts, however their ARL curves will not approach their maximum values at their in-control occurrence rates. To overcome the above problem, an ARL-unbiased design for Gamma charts with known parameters is proposed. The comparison result shows that the ARL-unbiased Gamma control charts are more sensitive to systematic deterioration than the traditional charts with the equal-tail probability limits. Finally, a real example is illustrated to demonstrate the implementation of the proposed approach.",
keywords = "ARL-unbiased design, Chi-square distribution, Gamma distribution, Time between events, average run length (ARL)",
author = "Shuo Huang and Jun Yang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 1st International Conference on Reliability Systems Engineering, ICRSE 2015 ; Conference date: 21-10-2015 Through 23-10-2015",
year = "2015",
month = dec,
day = "24",
doi = "10.1109/ICRSE.2015.7366498",
language = "英语",
series = "Proceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Shunong Zhang and Zili Wang",
booktitle = "Proceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015",
address = "美国",
}