TY - GEN
T1 - Design of Gamma control charts based on the narrowest confidence interval
AU - Hao, Songhua
AU - Huang, Shuo
AU - Yang, Jun
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/12/27
Y1 - 2016/12/27
N2 - In statistical process control, Gamma control charts are often designed for time-between-events (TBEs) monitoring. For Gamma distribution, the traditional equal-tail probability limits lead to the problem that some out-of-control events may occur in higher probability than in-control events. To overcome this problem, Gamma control limits with known parameters are proposed based on the narrowest confidence interval. Simulation and case study show that the proposed Gamma control limits outperform the conventional equal-tail probability limits, since the proposed Gamma control charts have shorter width and are more sensitive to detect the increase of parameter θ than the traditional ones.
AB - In statistical process control, Gamma control charts are often designed for time-between-events (TBEs) monitoring. For Gamma distribution, the traditional equal-tail probability limits lead to the problem that some out-of-control events may occur in higher probability than in-control events. To overcome this problem, Gamma control limits with known parameters are proposed based on the narrowest confidence interval. Simulation and case study show that the proposed Gamma control limits outperform the conventional equal-tail probability limits, since the proposed Gamma control charts have shorter width and are more sensitive to detect the increase of parameter θ than the traditional ones.
KW - equal-tail probability limits
KW - Gamma control charts
KW - narrowest confidence interval
KW - statistical process control
KW - time-between-events
UR - https://www.scopus.com/pages/publications/85009882009
U2 - 10.1109/IEEM.2016.7797868
DO - 10.1109/IEEM.2016.7797868
M3 - 会议稿件
AN - SCOPUS:85009882009
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 219
EP - 223
BT - 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
PB - IEEE Computer Society
T2 - 2016 International Conference on Industrial Engineering and Engineering Management, IEEM 2016
Y2 - 4 December 2016 through 7 December 2016
ER -