A novel predict-prevention quality control method of multi-stage manufacturing process towards zero defect manufacturing

IF 4.2 2区工程技术 Q2 ENGINEERING, MANUFACTURING Advances in Manufacturing Pub Date : 2023-02-02 DOI:10.1007/s40436-022-00427-9

Li-Ping Zhao, Bo-Hao Li, Yi-Yong Yao

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引用次数: 6

Abstract

Zero defection manufacturing (ZDM) is the pursuit of the manufacturing industry. However, there is a lack of the implementation method of ZDM in the multi-stage manufacturing process (MMP). Implementing ZDM and controlling product quality in MMP remains an urgent problem in intelligent manufacturing. A novel predict-prevention quality control method in MMP towards ZDM is proposed, including quality characteristics monitoring, key quality characteristics prediction, and assembly quality optimization. The stability of the quality characteristics is detected by analyzing the distribution of quality characteristics. By considering the correlations between different quality characteristics, a deep supervised long-short term memory (SLSTM) prediction network is built for time series prediction of quality characteristics. A long-short term memory-genetic algorithm (LSTM-GA) network is proposed to optimize the assembly quality. By utilizing the proposed quality control method in MMP, unqualified products can be avoided, and ZDM of MMP is implemented. Extensive empirical evaluations on the MMP of compressors validate the applicability and practicability of the proposed method.

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面向零缺陷制造的多阶段制造过程预测-预防质量控制新方法

零缺陷制造是制造业的追求。然而，在多阶段制造过程中缺乏ZDM的实施方法。在MMP中实施ZDM和控制产品质量仍然是智能制造中亟待解决的问题。针对ZDM，提出了一种新的MMP预测预防质量控制方法，包括质量特性监测、关键质量特性预测和装配质量优化。通过分析质量特征的分布来检测质量特征的稳定性。通过考虑不同质量特征之间的相关性，建立了一个用于质量特征时间序列预测的深度监督长短期记忆（SLSTM）预测网络。提出了一种长短期记忆遗传算法（LSTM-GA）网络来优化装配质量。通过在MMP中使用所提出的质量控制方法，可以避免不合格的产品，并实现MMP的ZDM。对压缩机MMP进行了大量的实证评估，验证了该方法的适用性和实用性。

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来源期刊

Advances in Manufacturing Materials Science-Polymers and Plastics

CiteScore

9.10

自引率

3.80%

发文量

274

期刊介绍： As an innovative, fundamental and scientific journal, Advances in Manufacturing aims to describe the latest regional and global research results and forefront developments in advanced manufacturing field. As such, it serves as an international platform for academic exchange between experts, scholars and researchers in this field. All articles in Advances in Manufacturing are peer reviewed. Respected scholars from the fields of advanced manufacturing fields will be invited to write some comments. We also encourage and give priority to research papers that have made major breakthroughs or innovations in the fundamental theory. The targeted fields include: manufacturing automation, mechatronics and robotics, precision manufacturing and control, micro-nano-manufacturing, green manufacturing, design in manufacturing, metallic and nonmetallic materials in manufacturing, metallurgical process, etc. The forms of articles include (but not limited to): academic articles, research reports, and general reviews.