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

被引:7
|
作者
Colosimo, Bianca Maria [1 ]
del Castillo, Enrique [2 ]
Jones-Farmer, L. Allison [3 ]
Paynabar, Kamran [4 ]
机构
[1] Politecn Milan, Dept Mech Engn, Milan, Italy
[2] Penn State Univ, Dept Ind & Mfg Eng, University Pk, PA 16802 USA
[3] Miami Univ, Farmer Sch Business, Oxford, OH USA
[4] Georgia Inst Technol, H Milton Stewart Sch Ind & Syst Engn ISyE, Atlanta, GA 30332 USA
关键词
Artificial intelligence; design of experiments; machine learning; quality technology; statistical process monitoring; OPTIMIZATION;
D O I
10.1080/00224065.2021.1987806
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In many applied and industrial settings, the use of Artificial Intelligence (AI) for quality technology is gaining growing attention. AI refers to the broad set of techniques which replicate human cognitive and analytical skills for problem solving, including Machine Learning, Neural Networks and Deep Learning. This paper presents a brief introduction to the special issue, where AI-based solutions are presented to solve problems that are typically faced in the area of quality technology. Limits and advantages of AI-based solutions are briefly discussed to stimulate creative attention to novel solutions and new directions for future research.
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页码:443 / 453
页数:11
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