Quality Control for Smart Manufacturing in Industry 5.0

Nguyen, Huu Du; Tran, Phuong Hanh; Do, Thu Ha; Tran, Kim Phuc

doi:10.1007/978-3-031-30510-8_3

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Quality Control for Smart Manufacturing in Industry 5.0

Nguyen, Huu Du; Tran, Phuong Hanh; Do, Thu Ha et al.

2023 • In Artificial Intelligence for Smart Manufacturing

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https://hdl.handle.net/2268/305300

DOI
10.1007/978-3-031-30510-8_3

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Keywords :

Anomaly detection; Computer vision; Explainable artificial intelligence; Human-centric quality control; Industry 5.0; Control methods; Human-centric; Machine-learning; Manufacturing industries; Manufacturing IS; Smart manufacturing; Safety, Risk, Reliability and Quality

Abstract :

[en] Smart manufacturing is widely accepted as the new emerging transformation of the manufacturing industry today. In addition, quality control, an important aspect that contributes to the successful process of smart manufacturing attracts attention from the community. However, there are certain challenges in implementing quality control methods in Industry 5.0. Thus, this chapter aims to provide a comprehensive background review of important notions and advanced techniques related to quality control for smart manufacturing such as Machine Learning, computer vision, the Internet of Things, and Artificial Intelligence. Then, several difficulties and opportunities in the implementation of these techniques for quality control in Industry 5.0 are discussed. Finally, a case study on monitoring wine production in the food industry is also considered to show the performance of Machine Learning-based techniques for quality control.

Disciplines :

Production, distribution & supply chain management

Author, co-author :

Nguyen, Huu Du; International Research Institute for Artificial Intelligence and Data Science, Dong A University, Danang, Viet Nam

Tran, Phuong Hanh ; Université de Liège - ULiège > HEC Liège Research

Do, Thu Ha; University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles, Lille, France

Tran, Kim Phuc; University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles, Lille, France

Language :

English

Title :

Quality Control for Smart Manufacturing in Industry 5.0

Publication date :

2023

Main work title :

Artificial Intelligence for Smart Manufacturing

Publisher :

Springer Science and Business Media Deutschland GmbH

ISBN/EAN :

978-3-03-130510-8
978-3-03-130509-2

Pages :

35-64

Peer reviewed :

Peer reviewed

Additional URL :

https://link.springer.com/content/pdf/10.1007/978-3-031-30510-8_3

Data Set :

https://doi.org/10.1007/978-3-031-30510-8_3

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since 19 July 2023

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