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

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...

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Bibliographic Details
Published inAdvances in manufacturing Vol. 11; no. 2; pp. 280 - 294
Main Authors Zhao, Li-Ping, Li, Bo-Hao, Yao, Yi-Yong
Format Journal Article
LanguageEnglish
Published Shanghai Shanghai University 01.06.2023
Springer Nature B.V
Subjects
Assembly
Compressors
Control
Control methods
Empirical analysis
Engineering
Genetic algorithms
Intelligent manufacturing systems
Machines
Manufacturing
Mechatronics
Nanotechnology and Microengineering
Optimization
Processes
Quality control
Robotics
Short term
Stability analysis
Multi-stage manufacturing process (MMP)
Deep supervised long-short term memory (SLSTM) network
Assembly quality optimization
Zero defection manufacturing (ZDM)
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Summary: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.
Bibliography:ObjectType-Article-1
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ISSN:2095-3127
2195-3597
DOI:10.1007/s40436-022-00427-9