质量4.0：概念、基础架构及关键技术

刘虎沉; 王鹤鸣; 施华; 尤建新

doi:10.3981/j.issn.1000-7857.2023.11.001

科技导报 >

2023 , Vol. 41 >Issue 11: 6 - 18

DOI: https://doi.org/10.3981/j.issn.1000-7857.2023.11.001

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质量4.0：概念、基础架构及关键技术

刘虎沉 ,
王鹤鸣 ,
施华 ,
尤建新

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1. 同济大学经济与管理学院，上海 200092
2. 上海电机学院材料学院，上海 201306

刘虎沉，教授，研究方向为质量工程与可靠性管理，电子信箱：huchenliu@tongji.edu.cn

收稿日期: 2023-02-27

修回日期: 2023-03-31

网络出版日期: 2023-06-29

基金资助

国家社会科学基金重大项目（21ZDA024）

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Quality 4.0: Concepts, basic architecture, and key technologies

LIU Huchen ,
WANG Heming ,
SHI Hua ,
YOU Jianxin

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1. School of Economics and Management, Tongji University, Shanghai 200092, China
2. School of Materials, Shanghai Dianji University, Shanghai 201306, China

Received date: 2023-02-27

Revised date: 2023-03-31

Online published: 2023-06-29

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摘要

通过明确质量4.0定义、特征、目标，完善了质量4.0概念，设计了质量4.0基础架构，讨论了工业大数据、数字孪生、机器学习等8类关键技术及其支撑质量4.0的具体方式，分析了中国制造业在质量4.0应用方面存在的问题并给出具体对策。

关键词： 质量4.0; 工业4.0; 质量管理; 智能制造

本文引用格式

刘虎沉 , 王鹤鸣 , 施华 , 尤建新 . 质量4.0：概念、基础架构及关键技术[J]. 科技导报, 2023 , 41(11) : 6 -18 . DOI: 10.3981/j.issn.1000-7857.2023.11.001

Abstract

Quality 4.0 is an emerging quality management concept, which has been increasingly appreciated due to intensification of competition, continually changing customer requirements, and technological evolution. It deals with aligning the practices of quality management with the emergent capabilities of Industry 4.0 to improve cost, time and efficiency as well as increase product quality. As the future of quality, Quality 4.0 has become a potential choice for enterprises and has attracted increasing attention in recent years. In the literature, many studies have been conducted to investigate Quality 4.0 from different perspectives. They provide valuable insights and interesting research suggestions concerning Quality 4.0. However, the current researches on Quality 4.0 are insufficient in terms of basic concept, architecture design and key technologies. Therefore, this paper tries to improve the concept of Quality 4.0 by clarifying the definition, features and goals of Quality 4.0 based on a comprehensive review of current researches and practices. Then, a basic architecture of Quality 4.0 is presented by including physical layer, edge layer, analysis layer and decision layer. Besides, eight key technologies, i. e., industrial big data, digital twins, machine learning, machine vision, visualization technology, optimization techniques, connect technology, and collaborative technology, are identified to support the implementation of Quality 4.0. Finally, the problems of Quality 4.0 implementation in the Chinese manufacturing industry and the possible solutions to address them are discussed.

Key words： Quality 4.0; Industry 4.0; quality management; intelligent manufacturing

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