质量(理念)
生产(经济)
产品(数学)
多样性(控制论)
个性化
计算机科学
制造工程
竞赛(生物学)
大规模定制
风险分析(工程)
工业工程
工程类
人工智能
业务
生物
认识论
几何学
万维网
哲学
宏观经济学
经济
数学
生态学
出处
期刊:Lecture notes in electrical engineering
日期:2017-09-11
标识
DOI:10.1007/978-981-10-5768-7_60
摘要
Product quality is the lifeblood of manufacturing enterprises. Under the background of intelligent manufacture, quality prediction is affected by lots of intricate elements. Furthermore, the customization level of products is one of the important factors which can support the enterprises in the increasingly fierce competition. Therefore, the high customization level means that it is impossible to collect a large quantity of quality data because of multi variety and small batch production mode. This paper proposes the principle and the framework of quality prediction in intelligent manufacturing. The framework adopts the theory of combinational prediction because it is more stable, more reliable and more accurate than single prediction model. The research of this paper will supply a new prediction method for the manufacturers and improve the accuracy of quality prediction and reduces the production risk.
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