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Advances in Manufacturing

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02-02-2023

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

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

Published in: Advances in Manufacturing | Issue 2/2023

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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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Title: A novel predict-prevention quality control method of multi-stage manufacturing process towards zero defect manufacturing
Authors: Li-Ping Zhao
Bo-Hao Li
Yi-Yong Yao
Publication date: 02-02-2023
Publisher: Shanghai University
Published in: Advances in Manufacturing / Issue 2/2023
Print ISSN: 2095-3127
Electronic ISSN: 2195-3597
DOI: https://doi.org/10.1007/s40436-022-00427-9

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