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Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 53, 2021 - Issue 5: Artificial Intelligence & Statistics for Quality Technology
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Introduction

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

Bianca Maria Colosimoa Department of Mechanical Engineering, Politecnico di Milano, Milano, ItalyCorrespondence[email protected]
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,
Enrique del Castillob Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PennsylvaniaView further author information
,
L. Allison Jones-Farmerc Farmer School of Business, Miami University, Oxford, OhioView further author information
&
Kamran Paynabard H. Milton Stewart School of Industrial and Systems Engineering (ISyE), Georgia Institute of Technology, AtlantaView further author information
Pages 443-453 | Published online: 01 Nov 2021

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Fadel M. Megahed, Ying-Ju Chen, Joshua A. Ferris, Sven Knoth & L. Allison Jones-Farmer. (2024) How generative AI models such as ChatGPT can be (mis)used in SPC practice, education, and research? An exploratory study. Quality Engineering 36:2, pages 287-315.
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Bianca M. Colosimo, L. Allison Jones-Farmer, Fadel M. Megahed, Kamran Paynabar, Chitta Ranjan & William H. Woodall. (2024) Statistical Process Monitoring from Industry 2.0 to Industry 4.0: Insights into Research and Practice. Technometrics 0:0, pages 1-24.
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Nikolaos G. Markatos & Alireza Mousavi. (2023) Manufacturing quality assessment in the industry 4.0 era: a review. Total Quality Management & Business Excellence 34:13-14, pages 1655-1681.
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Articles from other publishers (8)

Bianca Maria Colosimo, Luca Pagani & Marco Grasso. (2022) Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing. Journal of Intelligent Manufacturing 35:1, pages 429-447.
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Giovanni Zanderigo, Filippo Bracco, Quirico Semeraro & Bianca Maria Colosimo. (2023) In-situ Printability Maps (IPM): A new approach for in-situ printability assessment with application to extrusion-based bioprinting. Bioprinting 36, pages e00320.
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Javier Pérez Soler, Nicolás García Sastre, Andrés Larroza Santacruz, Victor Sevilla Nuñez, Miraç Can Yüksel, Santiago Gálvez Settier & Juan-Carlos Perez-Cortes. (2023) Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches. Advancing Towards Zero-Defect Manufacturing in the Plastic Injection Industry with Global and Local Explainability Approaches.
Tsang-Chuan Chang. (2023) A fuzzy evaluation approach to determine superiority of deep learning network system in terms of recognition capability: case study of lung cancer imaging. Annals of Operations Research.
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Pedro Juan Roig, Salvador Alcaraz, Katja Gilly, Cristina Bernad & Carlos Juiz. (2023) Formal Algebraic Model of an Edge Data Center with a Redundant Ring Topology. Network 3:1, pages 142-157.
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Noha M. Hassan, Ameera Hamdan, Farah Shahin, Rowaida Abdelmaksoud & Thurya Bitar. (2022) An artificial intelligent manufacturing process for high-quality low-cost production. International Journal of Quality & Reliability Management.
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Ali Yeganeh, Alireza Shadman & Saddam Akber Abbasi. (2022) Enhancing the detection ability of control charts in profile monitoring by adding RBF ensemble model. Neural Computing and Applications.
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Bianca Maria Colosimo & Fabio Centofanti. 2022. Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches. Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches 21 36 .

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