Machine Learning for Improving Product Quality in Advanced Manufacturing

机器学习提高先进制造中的产品质量

• 批准号: 10073076
• 金额: $ 3.48万
• 依托单位: EMERGING DATA TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Grant for R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10073076
• 关键词: Machine; Learning; Improving; Product; Quality

The project we are proposing is the development of a set of machine learning models for the prediction of quality failures within advanced manufacturing.Through mitigative, rather than reactive action, the risk of non-conforming product (waste) can be reduced. This runs in line with the steppingstones of the industry 4.0 roadmap, where applications of AI are the last step towards building the world class production facilities of the future. By reducing the risk of waste products firms will be able to produce product right first time, thus reducing supply chain shortages and increasing their ability to pivot to the demands of other sectors quickly.

我们提出的项目是开发一套机器学习模型，用于预测先进制造中的质量故障。通过缓解措施，而不是反应措施，可以降低不合格产品（废物）的风险。这符合工业4.0路线图的基石，其中人工智能的应用是建立未来世界级生产设施的最后一步。通过降低废品的风险，企业将能够在第一时间正确生产产品，从而减少供应链短缺，并提高其快速转向其他行业需求的能力。