Artificial Intelligence in Engineering Management in the Manufacturing Environment

制造环境中工程管理中的人工智能

• 批准号: 2457717
• 金额: --
• 依托单位: Durham University
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2457717
• 关键词: Artificial; Intelligence; Engineering; Management; Manufacturing

The focus of this project is the production of a novel AI solution capable of automating the quotation process for manufacture companies in order to increase efficiency whilst neither reducing profit norlosing business due to unrealistic quotations. The research of this AI project will be focused around theneed to create a 'feedback loop' of continual improvement of enquiry prioritisation, quotation accuracy(plan vs actual), commercial base costing verification and automated review, shop floor communicationand production process optimisation.Additionally, this project aims to augment the decomposition of data and metrics and to presentengineers and technicians with the most promising decision options, hence reducing the number ofparameters as a result of intelligent data processing and prediction. Due to my knowledge of AIdeveloped in my master's project and my experience participating in academic projects with industrylinks I would be the ideal candidate to carry out this project.This project is planned in collaboration with several manufacture companies based in County Durham,including Dyer engineering. Dyer Engineering is a rapidly expanding business which manufactures metalcomponents and structures and delivers related services. Their business operates across a diverse rangeof markets, with the ability to manufacture parts you can pick up by the handful, through to large-scalestructures operating in harsh sub-sea environments.Following the winning of a national tender from Innovate UK to become the first UK demonstrator siteto showcase Industry 4.0 technology, namely IoT asset tracking, Dyer have propelled in their adoptionof digital technology to leverage gains in productivity and staff welfare. As one of the Industry 4.0showcase companies of Innovate UK, data from a variety of sources is readily available at DyerEngineering. Currently, this information is communicated through various flexible BI dashboards andsubject to the tacit knowledge of individuals as well as a reliance that learning takes place.

该项目的重点是生产一种新型的人工智能解决方案，能够自动化制造公司的报价流程，以提高效率，同时不会因为不切实际的报价而减少利润或损失业务。这个人工智能项目的研究将集中在创造一个“反馈循环”的需要，不断改善查询优先级，报价准确性（计划与实际），商业基础成本核算验证和自动审查，车间沟通和生产流程优化。此外，该项目旨在增强数据和指标的分解，并向工程师和技术人员提供最有前途的决策选项，因此，由于智能数据处理和预测，减少了参数的数量。由于我在硕士项目中对人工智能的了解，以及我参与学术项目的经验，我将是执行这个项目的理想人选。这个项目是与达勒姆县的几家制造公司合作计划的，包括戴尔工程公司。戴尔工程是一个快速发展的企业，制造金属部件和结构，并提供相关服务。他们的业务涉及多个市场，能够制造出可在恶劣海底环境中操作的大规模结构。在赢得Innovate UK的国家招标后，成为英国首个展示工业4.0技术（即物联网资产跟踪）的演示站点，Dyer已经推动他们采用数字技术来提高生产力和员工福利。作为Innovate UK的工业4.0展示公司之一，DyerEngineering可以随时获得各种来源的数据。目前，这些信息通过各种灵活的BI仪表板进行交流，并受到个人的隐性知识以及学习发生的依赖。