Status已發表Published
Optimal Design of Cumulative Sum Control Charts Under Shift Uncertainty
Wenpo Huang1; Lianjie Shu1; Wei Jiang2
2013-08
Conference Name59th ISI World Statistics Congress
Source PublicationProceedings 59th ISI World Statistics Congress
Pages3988-3993
Conference Date25-30 August 2013
Conference PlaceHong Kong
Abstract

This paper considers efficient design of the cumulative sum (CUSUM) control chart for detecting process mean shifts with unknown magnitude. A fast and accurate algorithm based on the gradient method is developed for this purpose. Optimal design parameters are obtained and compared with the one obtained through simulations in literature. The gradient-based method is shown to provide more accurate and faster design of the CUSUM chart under uncertainty than using Monte Carlo simulations.

KeywordAverage Run Length Simulation Statistical Process Control
Language英語English
Document TypeConference paper
CollectionDEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Affiliation1.Faculty of Business Administration, University of Macau
2.Antai College of Economics and Management, Shanghai Jiaotong University
First Author AffilicationFaculty of Business Administration
Recommended Citation
GB/T 7714
Wenpo Huang,Lianjie Shu,Wei Jiang. Optimal Design of Cumulative Sum Control Charts Under Shift Uncertainty[C], 2013, 3988-3993.
APA Wenpo Huang., Lianjie Shu., & Wei Jiang (2013). Optimal Design of Cumulative Sum Control Charts Under Shift Uncertainty. Proceedings 59th ISI World Statistics Congress, 3988-3993.
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