Machine Learning for Improving Product Quality in Advanced Manufacturing

我们建议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。通过缓解而不是反应行动，可以降低不合格品(浪费)的风险。这符合行业4.0路线图的垫脚石，在该路线图中，人工智能的应用是建设未来世界级生产设施的最后一步。通过降低废品风险，企业将能够在第一时间生产出正确的产品，从而减少供应链短缺，并提高它们迅速转向其他部门需求的能力。

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.