One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts-Reference-Cited by-同舟云学术

One-sided Adaptive Truncated Exponentially Weighted Moving Average X¯ Schemes for Detecting Process Mean Shifts

Published:2022-04-11 Issue:5 Volume:19 Page:533-561
ISSN:1684-3703
Container-title:Quality Technology & Quantitative Management
language:en
Short-container-title:Quality Technology & Quantitative Management

Author:

Xie FuPeng¹^ORCID,Castagliola Philippe²^ORCID,Li Zhonghua³^ORCID,Sun JinSheng¹,Hu XueLong⁴^ORCID

Affiliation:

1. School of Automation, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

2. Université de Nantes & LS2N UMR CNRS 6004, Nantes, France

3. School of Statistics and Data Science and LPMC and KLMDASR, Nankai University, Tianjin, China

4. School of Management & Institute of High-Quality Development Evaluation, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, China

Funder

National Natural Science Foundation of China

Humanity and Social Science Foundation of Ministry of Education of China

China Scholarship Council

Postgraduate Research & Practice Innovation Program of Jiangsu Province

Key Research Base of Philosophy and Social Sciences in Jiangsu-Information Industry Integration Innovation and Emergency Management Research Center

The Excellent Innovation Teams of Philosophy and Social Science in Jiangsu Province

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Information Systems and Management,Management Science and Operations Research,Industrial relations,Business and International Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/16843703.2022.2033404

Reference39 articles.

1. A modified-mxEWMA location chart for the improved process monitoring using auxiliary information and its application in wood industry

2. Mean and Variance of Truncated Normal Distributions

3. An Adaptive Exponentially Weighted Moving Average Control Chart

4. An EWMA-type sign chart with exact run length properties

5. Steady-state run length analysis of a shewhart quality control chart with supplementary runs rules

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