Artificial intelligence and statistics for quality technology: an introduction to the special issue-Reference-Cited by-同舟云学术

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Artificial intelligence and statistics for quality technology: an introduction to the special issue

Published:2021-10-20 Issue:5 Volume:53 Page:443-453
ISSN:0022-4065
Container-title:Journal of Quality Technology
language:en
Short-container-title:Journal of Quality Technology

Author:

Colosimo Bianca Maria¹,del Castillo Enrique²,Jones-Farmer L. Allison³,Paynabar Kamran⁴

Affiliation:

1. Department of Mechanical Engineering, Politecnico di Milano, Milano, Italy

2. Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, Pennsylvania

3. Farmer School of Business, Miami University, Oxford, Ohio

4. H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology, Atlanta

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/00224065.2021.1987806

Reference68 articles.

1. Time-Series Modeling for Statistical Process Control

2. Response Surfaces, Mixtures, and Ridge Analyses

3. On the Experimental Attainment of Optimum Conditions

4. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice;Technometrics;2024-04-15

2. In-situ Printability Maps (IPM): A new approach for in-situ printability assessment with application to extrusion-based bioprinting;Bioprinting;2023-12

3. Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

4. How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study;Quality Engineering;2023-06-16

5. Manufacturing quality assessment in the industry 4.0 era: a review;Total Quality Management & Business Excellence;2023-03-29

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