Monitoring serially dependent categorical processes with ordinal information-Reference-Cited by-同舟云学术

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Monitoring serially dependent categorical processes with ordinal information

Published:2018-03-09 Issue:7 Volume:50 Page:596-605
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Li Jian¹,Xu Jiakun²,Zhou Qiang³^ORCID

Affiliation:

1. School of Management and State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, P. R. China

2. Department of System Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong

3. Department of Systems and Industrial Engineering, University of Arizona, Tucson, AZ, USA

Funder

National Natural Science Foundation of China

National Social Science Foundation of China

National Key R&D program of China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2018.1429695

Reference33 articles.

1. Analysis of Ordinal Categorical Data

2. The GLRT for statistical process control of autocorrelated processes

3. The AutoregressiveT2 Chart for Monitoring Univariate Autocorrelated Processes

4. A CUSUM Scheme for Autocorrelated Observations

5. Attribute Control Charts for Markov Dependent Production Processes

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