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Multi-variety and small-batch production quality forecasting by novel data-driven grey Weibull model

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成果类型:
期刊论文
作者:
Xiao, Qinzi;Gao, Mingyun;Chen, Lin;Goh, Mark
通讯作者:
Gao, MY
作者机构:
[Xiao, Qinzi; Chen, Lin] Wuhan Inst Technol, Sch Management, Wuhan 430205, Peoples R China.
[Gao, Mingyun] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Goh, Mark] Natl Univ Singapore, NUS Business Sch, Singapore 117592, Singapore.
[Goh, Mark] Natl Univ Singapore, Logist Inst Asia Pacific, Singapore 117592, Singapore.
通讯机构:
[Gao, MY ] C
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Data-driven;Grey system;Grey Weibull model;Multi-variety and small-batch production;Product quality prediction
期刊:
Engineering Applications of Artificial Intelligence
ISSN:
0952-1976
年:
2023
卷:
125
页码:
106725
基金类别:
This research was supported by research grant from the National Natural Science Foundation of China (No. 72102171 ), the Humanities and Social Sciences Youth Foundation , Ministry of Education of the People’s Republic of China (No. 21YJC630006 ), China Postdoctoral Science Foundation (No. 2022M721292 ), and the Fundamental Research Funds for the Central Universities of Central China Normal University (No. CCNU23XJ016 ).
机构署名:
本校为通讯机构
院系归属:
信息管理学院
摘要:
With the coming of intelligent manufacturing, multi-variety and small-batch production mode has gradually become popular. Aiming at the characteristics of high dimensional information and limited samples in this mode, a novel data-driven grey Weibull model is established for product quality prediction. Firstly, a high-dimensional information from the production process is integrated as the process variation using a data-driven method. Then, the quality prediction function is deducted by considering that process variation follows Weibull distrib...

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